Overview

Dataset statistics

Number of variables202
Number of observations46
Missing cells0
Missing cells (%)0.0%
Total size in memory73.0 KiB
Average record size in memory1.6 KiB

Variable types

Numeric189
Categorical13

Alerts

nu_ano_censo has constant value ""Constant
no_regiao has constant value ""Constant
co_regiao has constant value ""Constant
no_uf has constant value ""Constant
sg_uf has constant value ""Constant
co_uf has constant value ""Constant
tp_dimensao has constant value ""Constant
tp_organizacao_academica has constant value ""Constant
tp_categoria_administrativa has constant value ""Constant
tp_rede has constant value ""Constant
co_ies has constant value ""Constant
in_gratuito has constant value ""Constant
tp_modalidade_ensino has constant value ""Constant
tp_nivel_academico has constant value ""Constant
qt_curso has constant value ""Constant
qt_vg_total_ead has constant value ""Constant
qt_vg_proc_seletivo has constant value ""Constant
qt_vg_prog_especial has constant value ""Constant
qt_inscrito_total_ead has constant value ""Constant
qt_insc_proc_seletivo has constant value ""Constant
qt_insc_vg_prog_especial has constant value ""Constant
qt_ing_avaliacao_seriada has constant value ""Constant
qt_ing_selecao_simplifica has constant value ""Constant
qt_ing_egr has constant value ""Constant
qt_ing_outro_tipo_selecao has constant value ""Constant
qt_ing_proc_seletivo has constant value ""Constant
qt_ing_vg_prog_especial has constant value ""Constant
qt_conc_0_17 has constant value ""Constant
qt_ing_nacestrang has constant value ""Constant
qt_conc_nacestrang has constant value ""Constant
qt_ing_financ has constant value ""Constant
qt_ing_financ_reemb has constant value ""Constant
qt_ing_fies has constant value ""Constant
qt_ing_rpfies has constant value ""Constant
qt_ing_financ_reemb_outros has constant value ""Constant
qt_ing_financ_nreemb has constant value ""Constant
qt_ing_prounii has constant value ""Constant
qt_ing_prounip has constant value ""Constant
qt_ing_nrpfies has constant value ""Constant
qt_ing_financ_nreemb_outros has constant value ""Constant
qt_mat_financ has constant value ""Constant
qt_mat_financ_reemb has constant value ""Constant
qt_mat_fies has constant value ""Constant
qt_mat_rpfies has constant value ""Constant
qt_mat_financ_reemb_outros has constant value ""Constant
qt_mat_financ_nreemb has constant value ""Constant
qt_mat_prounii has constant value ""Constant
qt_mat_prounip has constant value ""Constant
qt_mat_nrpfies has constant value ""Constant
qt_mat_financ_nreemb_outros has constant value ""Constant
qt_conc_financ has constant value ""Constant
qt_conc_financ_reemb has constant value ""Constant
qt_conc_fies has constant value ""Constant
qt_conc_rpfies has constant value ""Constant
qt_conc_financ_reemb_outros has constant value ""Constant
qt_conc_financ_nreemb has constant value ""Constant
qt_conc_prounii has constant value ""Constant
qt_conc_prounip has constant value ""Constant
qt_conc_nrpfies has constant value ""Constant
qt_conc_financ_nreemb_outros has constant value ""Constant
qt_ing_rvpdef has constant value ""Constant
qt_mat_rvpdef has constant value ""Constant
qt_conc_rvpdef has constant value ""Constant
qt_sit_transferido has constant value ""Constant
qt_sit_falecido has constant value ""Constant
qt_ing_procnaoinformada has constant value ""Constant
qt_parfor has constant value ""Constant
qt_ing_parfor has constant value ""Constant
qt_mat_parfor has constant value ""Constant
qt_conc_parfor has constant value ""Constant
qt_ing_mob_academica has constant value ""Constant
co_curso has unique valuesUnique
in_capital has 18 (39.1%) zerosZeros
qt_vg_total has 2 (4.3%) zerosZeros
qt_vg_total_diurno has 11 (23.9%) zerosZeros
qt_vg_total_noturno has 31 (67.4%) zerosZeros
qt_vg_total_ead has 46 (100.0%) zerosZeros
qt_vg_nova has 2 (4.3%) zerosZeros
qt_vg_proc_seletivo has 46 (100.0%) zerosZeros
qt_vg_remanesc has 10 (21.7%) zerosZeros
qt_vg_prog_especial has 46 (100.0%) zerosZeros
qt_inscrito_total has 2 (4.3%) zerosZeros
qt_inscrito_total_diurno has 11 (23.9%) zerosZeros
qt_inscrito_total_noturno has 31 (67.4%) zerosZeros
qt_inscrito_total_ead has 46 (100.0%) zerosZeros
qt_insc_vg_nova has 2 (4.3%) zerosZeros
qt_insc_proc_seletivo has 46 (100.0%) zerosZeros
qt_insc_vg_remanesc has 14 (30.4%) zerosZeros
qt_insc_vg_prog_especial has 46 (100.0%) zerosZeros
qt_ing has 2 (4.3%) zerosZeros
qt_ing_fem has 2 (4.3%) zerosZeros
qt_ing_masc has 2 (4.3%) zerosZeros
qt_ing_diurno has 11 (23.9%) zerosZeros
qt_ing_noturno has 31 (67.4%) zerosZeros
qt_ing_vg_nova has 2 (4.3%) zerosZeros
qt_ing_vestibular has 35 (76.1%) zerosZeros
qt_ing_enem has 3 (6.5%) zerosZeros
qt_ing_avaliacao_seriada has 46 (100.0%) zerosZeros
qt_ing_selecao_simplifica has 46 (100.0%) zerosZeros
qt_ing_egr has 46 (100.0%) zerosZeros
qt_ing_outro_tipo_selecao has 46 (100.0%) zerosZeros
qt_ing_proc_seletivo has 46 (100.0%) zerosZeros
qt_ing_vg_remanesc has 22 (47.8%) zerosZeros
qt_ing_vg_prog_especial has 46 (100.0%) zerosZeros
qt_ing_outra_forma has 29 (63.0%) zerosZeros
qt_ing_0_17 has 9 (19.6%) zerosZeros
qt_ing_18_24 has 2 (4.3%) zerosZeros
qt_ing_25_29 has 3 (6.5%) zerosZeros
qt_ing_30_34 has 4 (8.7%) zerosZeros
qt_ing_35_39 has 8 (17.4%) zerosZeros
qt_ing_40_49 has 10 (21.7%) zerosZeros
qt_ing_50_59 has 23 (50.0%) zerosZeros
qt_ing_60_mais has 39 (84.8%) zerosZeros
qt_ing_branca has 2 (4.3%) zerosZeros
qt_ing_preta has 2 (4.3%) zerosZeros
qt_ing_parda has 2 (4.3%) zerosZeros
qt_ing_amarela has 21 (45.7%) zerosZeros
qt_ing_indigena has 37 (80.4%) zerosZeros
qt_ing_cornd has 17 (37.0%) zerosZeros
qt_mat_fem has 1 (2.2%) zerosZeros
qt_mat_diurno has 10 (21.7%) zerosZeros
qt_mat_noturno has 30 (65.2%) zerosZeros
qt_mat_0_17 has 9 (19.6%) zerosZeros
qt_mat_18_24 has 1 (2.2%) zerosZeros
qt_mat_25_29 has 1 (2.2%) zerosZeros
qt_mat_30_34 has 1 (2.2%) zerosZeros
qt_mat_35_39 has 2 (4.3%) zerosZeros
qt_mat_40_49 has 4 (8.7%) zerosZeros
qt_mat_50_59 has 9 (19.6%) zerosZeros
qt_mat_60_mais has 27 (58.7%) zerosZeros
qt_mat_branca has 1 (2.2%) zerosZeros
qt_mat_preta has 1 (2.2%) zerosZeros
qt_mat_amarela has 6 (13.0%) zerosZeros
qt_mat_indigena has 23 (50.0%) zerosZeros
qt_mat_cornd has 4 (8.7%) zerosZeros
qt_conc has 9 (19.6%) zerosZeros
qt_conc_fem has 12 (26.1%) zerosZeros
qt_conc_masc has 12 (26.1%) zerosZeros
qt_conc_diurno has 18 (39.1%) zerosZeros
qt_conc_noturno has 31 (67.4%) zerosZeros
qt_conc_0_17 has 46 (100.0%) zerosZeros
qt_conc_18_24 has 12 (26.1%) zerosZeros
qt_conc_25_29 has 13 (28.3%) zerosZeros
qt_conc_30_34 has 24 (52.2%) zerosZeros
qt_conc_35_39 has 37 (80.4%) zerosZeros
qt_conc_40_49 has 36 (78.3%) zerosZeros
qt_conc_50_59 has 39 (84.8%) zerosZeros
qt_conc_60_mais has 45 (97.8%) zerosZeros
qt_conc_branca has 13 (28.3%) zerosZeros
qt_conc_preta has 18 (39.1%) zerosZeros
qt_conc_parda has 11 (23.9%) zerosZeros
qt_conc_amarela has 39 (84.8%) zerosZeros
qt_conc_indigena has 43 (93.5%) zerosZeros
qt_conc_cornd has 44 (95.7%) zerosZeros
qt_ing_nacbras has 2 (4.3%) zerosZeros
qt_ing_nacestrang has 46 (100.0%) zerosZeros
qt_mat_nacestrang has 42 (91.3%) zerosZeros
qt_conc_nacbras has 9 (19.6%) zerosZeros
qt_conc_nacestrang has 46 (100.0%) zerosZeros
qt_aluno_deficiente has 8 (17.4%) zerosZeros
qt_ing_deficiente has 22 (47.8%) zerosZeros
qt_mat_deficiente has 10 (21.7%) zerosZeros
qt_conc_deficiente has 45 (97.8%) zerosZeros
qt_ing_financ has 46 (100.0%) zerosZeros
qt_ing_financ_reemb has 46 (100.0%) zerosZeros
qt_ing_fies has 46 (100.0%) zerosZeros
qt_ing_rpfies has 46 (100.0%) zerosZeros
qt_ing_financ_reemb_outros has 46 (100.0%) zerosZeros
qt_ing_financ_nreemb has 46 (100.0%) zerosZeros
qt_ing_prounii has 46 (100.0%) zerosZeros
qt_ing_prounip has 46 (100.0%) zerosZeros
qt_ing_nrpfies has 46 (100.0%) zerosZeros
qt_ing_financ_nreemb_outros has 46 (100.0%) zerosZeros
qt_mat_financ has 46 (100.0%) zerosZeros
qt_mat_financ_reemb has 46 (100.0%) zerosZeros
qt_mat_fies has 46 (100.0%) zerosZeros
qt_mat_rpfies has 46 (100.0%) zerosZeros
qt_mat_financ_reemb_outros has 46 (100.0%) zerosZeros
qt_mat_financ_nreemb has 46 (100.0%) zerosZeros
qt_mat_prounii has 46 (100.0%) zerosZeros
qt_mat_prounip has 46 (100.0%) zerosZeros
qt_mat_nrpfies has 46 (100.0%) zerosZeros
qt_mat_financ_nreemb_outros has 46 (100.0%) zerosZeros
qt_conc_financ has 46 (100.0%) zerosZeros
qt_conc_financ_reemb has 46 (100.0%) zerosZeros
qt_conc_fies has 46 (100.0%) zerosZeros
qt_conc_rpfies has 46 (100.0%) zerosZeros
qt_conc_financ_reemb_outros has 46 (100.0%) zerosZeros
qt_conc_financ_nreemb has 46 (100.0%) zerosZeros
qt_conc_prounii has 46 (100.0%) zerosZeros
qt_conc_prounip has 46 (100.0%) zerosZeros
qt_conc_nrpfies has 46 (100.0%) zerosZeros
qt_conc_financ_nreemb_outros has 46 (100.0%) zerosZeros
qt_ing_reserva_vaga has 5 (10.9%) zerosZeros
qt_ing_rvredepublica has 9 (19.6%) zerosZeros
qt_ing_rvetnico has 11 (23.9%) zerosZeros
qt_ing_rvpdef has 46 (100.0%) zerosZeros
qt_ing_rvsocial_rf has 15 (32.6%) zerosZeros
qt_ing_rvoutros has 12 (26.1%) zerosZeros
qt_mat_reserva_vaga has 2 (4.3%) zerosZeros
qt_mat_rvredepublica has 3 (6.5%) zerosZeros
qt_mat_rvetnico has 4 (8.7%) zerosZeros
qt_mat_rvpdef has 46 (100.0%) zerosZeros
qt_mat_rvsocial_rf has 6 (13.0%) zerosZeros
qt_mat_rvoutros has 5 (10.9%) zerosZeros
qt_conc_reserva_vaga has 43 (93.5%) zerosZeros
qt_conc_rvredepublica has 44 (95.7%) zerosZeros
qt_conc_rvetnico has 44 (95.7%) zerosZeros
qt_conc_rvpdef has 46 (100.0%) zerosZeros
qt_conc_rvsocial_rf has 45 (97.8%) zerosZeros
qt_conc_rvoutros has 44 (95.7%) zerosZeros
qt_sit_trancada has 8 (17.4%) zerosZeros
qt_sit_desvinculado has 2 (4.3%) zerosZeros
qt_sit_transferido has 46 (100.0%) zerosZeros
qt_sit_falecido has 46 (100.0%) zerosZeros
qt_ing_procescpublica has 2 (4.3%) zerosZeros
qt_ing_procescprivada has 2 (4.3%) zerosZeros
qt_ing_procnaoinformada has 46 (100.0%) zerosZeros
qt_mat_procescpublica has 2 (4.3%) zerosZeros
qt_mat_procnaoinformada has 42 (91.3%) zerosZeros
qt_conc_procescpublica has 24 (52.2%) zerosZeros
qt_conc_procescprivada has 10 (21.7%) zerosZeros
qt_conc_procnaoinformada has 45 (97.8%) zerosZeros
qt_parfor has 46 (100.0%) zerosZeros
qt_ing_parfor has 46 (100.0%) zerosZeros
qt_mat_parfor has 46 (100.0%) zerosZeros
qt_conc_parfor has 46 (100.0%) zerosZeros
qt_apoio_social has 7 (15.2%) zerosZeros
qt_ing_apoio_social has 44 (95.7%) zerosZeros
qt_mat_apoio_social has 7 (15.2%) zerosZeros
qt_conc_apoio_social has 25 (54.3%) zerosZeros
qt_ativ_extracurricular has 4 (8.7%) zerosZeros
qt_ing_ativ_extracurricular has 45 (97.8%) zerosZeros
qt_mat_ativ_extracurricular has 4 (8.7%) zerosZeros
qt_conc_ativ_extracurricular has 29 (63.0%) zerosZeros
qt_mob_academica has 44 (95.7%) zerosZeros
qt_ing_mob_academica has 46 (100.0%) zerosZeros
qt_mat_mob_academica has 44 (95.7%) zerosZeros
qt_conc_mob_academica has 45 (97.8%) zerosZeros

Reproduction

Analysis started2023-10-04 20:06:19.372641
Analysis finished2023-10-04 20:06:21.438686
Duration2.07 seconds
Software versionydata-profiling vv4.1.2
Download configurationconfig.json

Variables

nu_ano_censo
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2021
Minimum2021
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:22.004495image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2021
5-th percentile2021
Q12021
median2021
Q32021
95-th percentile2021
Maximum2021
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2021
Median Absolute Deviation (MAD)0
Skewness0
Sum92966
Variance0
MonotonicityIncreasing
2023-10-04T17:06:22.174644image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2021 46
100.0%
ValueCountFrequency (%)
2021 46
100.0%
ValueCountFrequency (%)
2021 46
100.0%

no_regiao
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size736.0 B
nordeste
46 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rownordeste
2nd rownordeste
3rd rownordeste
4th rownordeste
5th rownordeste

Common Values

ValueCountFrequency (%)
nordeste 46
100.0%

Common Values (Plot)

2023-10-04T17:06:22.386215image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

co_regiao
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:22.555053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum92
Variance0
MonotonicityIncreasing
2023-10-04T17:06:22.753729image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 46
100.0%
ValueCountFrequency (%)
2 46
100.0%
ValueCountFrequency (%)
2 46
100.0%

no_uf
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size736.0 B
pernambuco
46 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowpernambuco
2nd rowpernambuco
3rd rowpernambuco
4th rowpernambuco
5th rowpernambuco

Common Values

ValueCountFrequency (%)
pernambuco 46
100.0%

Common Values (Plot)

2023-10-04T17:06:23.058770image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

sg_uf
Categorical

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size736.0 B
pe
46 

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowpe
2nd rowpe
3rd rowpe
4th rowpe
5th rowpe

Common Values

ValueCountFrequency (%)
pe 46
100.0%

Common Values (Plot)

2023-10-04T17:06:23.223603image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

co_uf
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum26
Maximum26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:23.371680image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum26
5-th percentile26
Q126
median26
Q326
95-th percentile26
Maximum26
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean26
Median Absolute Deviation (MAD)0
Skewness0
Sum1196
Variance0
MonotonicityIncreasing
2023-10-04T17:06:23.558872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
26 46
100.0%
ValueCountFrequency (%)
26 46
100.0%
ValueCountFrequency (%)
26 46
100.0%

no_municipio
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size736.0 B
recife
28 
serra_talhada
cabo_de_santo_agostinho
belo_jardim

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowbelo_jardim
2nd rowbelo_jardim
3rd rowbelo_jardim
4th rowbelo_jardim
5th rowcabo_de_santo_agostinho

Common Values

ValueCountFrequency (%)
recife 28
60.9%
serra_talhada 9
 
19.6%
cabo_de_santo_agostinho 5
 
10.9%
belo_jardim 4
 
8.7%

Common Values (Plot)

2023-10-04T17:06:23.813715image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

co_municipio
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2610249.63
Minimum2601706
Maximum2613909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:24.011566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum2601706
5-th percentile2601706
Q12611606
median2611606
Q32611606
95-th percentile2613909
Maximum2613909
Range12203
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4038.54868
Coefficient of variation (CV)0.00154718868
Kurtosis0.3778540878
Mean2610249.63
Median Absolute Deviation (MAD)0
Skewness-1.399209774
Sum120071483
Variance16309875.44
MonotonicityIncreasing
2023-10-04T17:06:24.184857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2611606 28
60.9%
2613909 9
 
19.6%
2602902 5
 
10.9%
2601706 4
 
8.7%
ValueCountFrequency (%)
2601706 4
 
8.7%
2602902 5
 
10.9%
2611606 28
60.9%
2613909 9
 
19.6%
ValueCountFrequency (%)
2613909 9
 
19.6%
2611606 28
60.9%
2602902 5
 
10.9%
2601706 4
 
8.7%

in_capital
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6086956522
Minimum0
Maximum1
Zeros18
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:24.390138image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4934351638
Coefficient of variation (CV)0.8106434834
Kurtosis-1.871224706
Mean0.6086956522
Median Absolute Deviation (MAD)0
Skewness-0.4605928883
Sum28
Variance0.2434782609
MonotonicityNot monotonic
2023-10-04T17:06:24.624106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 28
60.9%
0 18
39.1%
ValueCountFrequency (%)
0 18
39.1%
1 28
60.9%
ValueCountFrequency (%)
1 28
60.9%
0 18
39.1%

tp_dimensao
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:24.834361image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-10-04T17:06:25.001928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

tp_organizacao_academica
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:25.208391image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-10-04T17:06:25.406442image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:25.600675image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-10-04T17:06:25.778697image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

tp_rede
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:25.958464image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-10-04T17:06:26.132485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

co_ies
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean587
Minimum587
Maximum587
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:26.318593image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum587
5-th percentile587
Q1587
median587
Q3587
95-th percentile587
Maximum587
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean587
Median Absolute Deviation (MAD)0
Skewness0
Sum27002
Variance0
MonotonicityIncreasing
2023-10-04T17:06:26.492601image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
587 46
100.0%
ValueCountFrequency (%)
587 46
100.0%
ValueCountFrequency (%)
587 46
100.0%

no_curso
Categorical

Distinct37
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Memory size736.0 B
ciencias_biologicas
 
3
zootecnia
 
2
sistema_de_informacao
 
2
quimica
 
2
ciencias_economicas
 
2
Other values (32)
35 

Unique

Unique29 ?
Unique (%)63.0%

Sample

1st rowengenharia_de_computacao
2nd rowengenharia_de_controle_e_automacao
3rd rowengenharia_hidrica
4th rowengenharia_quimica
5th rowengenharia_civil

Common Values

ValueCountFrequency (%)
ciencias_biologicas 3
 
6.5%
zootecnia 2
 
4.3%
sistema_de_informacao 2
 
4.3%
quimica 2
 
4.3%
ciencias_economicas 2
 
4.3%
engenharia_de_pesca 2
 
4.3%
administracao 2
 
4.3%
agronomia 2
 
4.3%
engenharia_de_computacao 1
 
2.2%
fisica 1
 
2.2%
Other values (27) 27
58.7%

co_curso
Real number (ℝ)

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean486701.3478
Minimum14500
Maximum1557116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:26.760977image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum14500
5-th percentile14503.25
Q114513.25
median101835
Q31270379.75
95-th percentile1516691.5
Maximum1557116
Range1542616
Interquartile range (IQR)1255866.5

Descriptive statistics

Standard deviation624734.2725
Coefficient of variation (CV)1.283609086
Kurtosis-1.29691199
Mean486701.3478
Median Absolute Deviation (MAD)87326
Skewness0.814796556
Sum22388262
Variance3.902929112 × 1011
MonotonicityNot monotonic
2023-10-04T17:06:27.064167image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
1516690 1
 
2.2%
14511 1
 
2.2%
14504 1
 
2.2%
14503 1
 
2.2%
14510 1
 
2.2%
92075 1
 
2.2%
14514 1
 
2.2%
118382 1
 
2.2%
14505 1
 
2.2%
14507 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
14500 1
2.2%
14502 1
2.2%
14503 1
2.2%
14504 1
2.2%
14505 1
2.2%
ValueCountFrequency (%)
1557116 1
2.2%
1516693 1
2.2%
1516692 1
2.2%
1516690 1
2.2%
1516689 1
2.2%

no_cine_rotulo
Categorical

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size736.0 B
zootecnia
 
2
sistemas_de_informacao
 
2
quimica_formacao_de_professor
 
2
economia
 
2
engenharia_de_pesca
 
2
Other values (33)
36 

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st rowengenharia_de_computacao_(dcn_engenharia)
2nd rowengenharia_de_controle_e_automacao
3rd rowengenharia_de_recursos_hidricos
4th rowengenharia_quimica
5th rowengenharia_civil

Common Values

ValueCountFrequency (%)
zootecnia 2
 
4.3%
sistemas_de_informacao 2
 
4.3%
quimica_formacao_de_professor 2
 
4.3%
economia 2
 
4.3%
engenharia_de_pesca 2
 
4.3%
administracao 2
 
4.3%
biologia 2
 
4.3%
agronomia 2
 
4.3%
engenharia_de_computacao_(dcn_engenharia) 1
 
2.2%
fisica_formacao_de_professor 1
 
2.2%
Other values (28) 28
60.9%

co_cine_rotulo
Categorical

Distinct38
Distinct (%)82.6%
Missing0
Missing (%)0.0%
Memory size736.0 B
"0811z01"
 
2
"0615s02"
 
2
"0114q01"
 
2
"0311e01"
 
2
"0831e01"
 
2
Other values (33)
36 

Unique

Unique30 ?
Unique (%)65.2%

Sample

1st row"0714e04"
2nd row"0714e05"
3rd row"0732e02"
4th row"0711e05"
5th row"0732e01"

Common Values

ValueCountFrequency (%)
"0811z01" 2
 
4.3%
"0615s02" 2
 
4.3%
"0114q01" 2
 
4.3%
"0311e01" 2
 
4.3%
"0831e01" 2
 
4.3%
"0413a01" 2
 
4.3%
"0511b01" 2
 
4.3%
"0811a04" 2
 
4.3%
"0714e04" 1
 
2.2%
"0114f02" 1
 
2.2%
Other values (28) 28
60.9%

co_cine_area_geral
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.173913043
Minimum1
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:27.350347image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11.5
median6.5
Q38
95-th percentile8
Maximum10
Range9
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation2.983691582
Coefficient of variation (CV)0.5766798857
Kurtosis-1.405543534
Mean5.173913043
Median Absolute Deviation (MAD)1.5
Skewness-0.3334622132
Sum238
Variance8.902415459
MonotonicityNot monotonic
2023-10-04T17:06:27.553558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 12
26.1%
8 11
23.9%
7 10
21.7%
3 4
 
8.7%
6 3
 
6.5%
4 2
 
4.3%
5 2
 
4.3%
10 2
 
4.3%
ValueCountFrequency (%)
1 12
26.1%
3 4
 
8.7%
4 2
 
4.3%
5 2
 
4.3%
6 3
 
6.5%
ValueCountFrequency (%)
10 2
 
4.3%
8 11
23.9%
7 10
21.7%
6 3
 
6.5%
5 2
 
4.3%
Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Memory size736.0 B
educacao
12 
agricultura,_silvicultura,_pesca_e_veterinaria
11 
engenharia,_producao_e_construcao
10 
ciencias_sociais,_comunicacao_e_informacao
computacao_e_tecnologias_da_informacao_e_comunicacao_(tic)
Other values (3)

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowengenharia,_producao_e_construcao
2nd rowengenharia,_producao_e_construcao
3rd rowengenharia,_producao_e_construcao
4th rowengenharia,_producao_e_construcao
5th rowengenharia,_producao_e_construcao

Common Values

ValueCountFrequency (%)
educacao 12
26.1%
agricultura,_silvicultura,_pesca_e_veterinaria 11
23.9%
engenharia,_producao_e_construcao 10
21.7%
ciencias_sociais,_comunicacao_e_informacao 4
 
8.7%
computacao_e_tecnologias_da_informacao_e_comunicacao_(tic) 3
 
6.5%
negocios,_administracao_e_direito 2
 
4.3%
ciencias_naturais,_matematica_e_estatistica 2
 
4.3%
servicos 2
 
4.3%

Common Values (Plot)

2023-10-04T17:06:27.806711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

co_cine_area_especifica
Real number (ℝ)

Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.2173913
Minimum11
Maximum101
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:28.194470image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile11
Q116
median66
Q381
95-th percentile83.75
Maximum101
Range90
Interquartile range (IQR)65

Descriptive statistics

Standard deviation30.02733055
Coefficient of variation (CV)0.5642390544
Kurtosis-1.398093366
Mean53.2173913
Median Absolute Deviation (MAD)17
Skewness-0.3441134418
Sum2448
Variance901.6405797
MonotonicityNot monotonic
2023-10-04T17:06:28.353636image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
11 12
26.1%
71 7
15.2%
81 6
13.0%
83 3
 
6.5%
61 3
 
6.5%
31 3
 
6.5%
73 2
 
4.3%
41 2
 
4.3%
51 2
 
4.3%
101 2
 
4.3%
Other values (4) 4
 
8.7%
ValueCountFrequency (%)
11 12
26.1%
31 3
 
6.5%
38 1
 
2.2%
41 2
 
4.3%
51 2
 
4.3%
ValueCountFrequency (%)
101 2
 
4.3%
84 1
 
2.2%
83 3
6.5%
82 1
 
2.2%
81 6
13.0%
Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Memory size736.0 B
educacao
12 
engenharia_e_profissoes_correlatas
agricultura
pesca
computacao_e_tecnologias_da_informacao_e_comunicacao_(tic)
Other values (9)
15 

Unique

Unique4 ?
Unique (%)8.7%

Sample

1st rowengenharia_e_profissoes_correlatas
2nd rowengenharia_e_profissoes_correlatas
3rd rowarquitetura_e_construcao
4th rowengenharia_e_profissoes_correlatas
5th rowarquitetura_e_construcao

Common Values

ValueCountFrequency (%)
educacao 12
26.1%
engenharia_e_profissoes_correlatas 7
15.2%
agricultura 6
13.0%
pesca 3
 
6.5%
computacao_e_tecnologias_da_informacao_e_comunicacao_(tic) 3
 
6.5%
ciencias_sociais_e_comportamentais 3
 
6.5%
arquitetura_e_construcao 2
 
4.3%
negocios_e_administracao 2
 
4.3%
ciencias_biologicas_e_correlatas 2
 
4.3%
servicos_pessoais 2
 
4.3%
Other values (4) 4
 
8.7%

co_cine_area_detalhada
Real number (ℝ)

Distinct23
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean534.9347826
Minimum113
Maximum1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:28.574208image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum113
5-th percentile114
Q1164
median663
Q3811
95-th percentile838.5
Maximum1013
Range900
Interquartile range (IQR)647

Descriptive statistics

Standard deviation299.3770868
Coefficient of variation (CV)0.5596515623
Kurtosis-1.398687791
Mean534.9347826
Median Absolute Deviation (MAD)168
Skewness-0.3449715425
Sum24607
Variance89626.6401
MonotonicityNot monotonic
2023-10-04T17:06:28.774617image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
114 9
19.6%
811 6
13.0%
714 3
 
6.5%
831 3
 
6.5%
115 2
 
4.3%
311 2
 
4.3%
732 2
 
4.3%
511 2
 
4.3%
413 2
 
4.3%
615 2
 
4.3%
Other values (13) 13
28.3%
ValueCountFrequency (%)
113 1
 
2.2%
114 9
19.6%
115 2
 
4.3%
311 2
 
4.3%
312 1
 
2.2%
ValueCountFrequency (%)
1013 1
 
2.2%
1011 1
 
2.2%
841 1
 
2.2%
831 3
6.5%
821 1
 
2.2%
Distinct23
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size736.0 B
formacao_de_professores_em_areas_especificas_(exceto_letras)
producao_agricola,_agropecuaria_e_zootecnia
eletronica_e_automacao
pesca
formacao_de_professores_de_letras
 
2
Other values (18)
23 

Unique

Unique13 ?
Unique (%)28.3%

Sample

1st roweletronica_e_automacao
2nd roweletronica_e_automacao
3rd rowengenharia_civil_e_construcao
4th rowengenharia_quimica_e_de_processos
5th rowengenharia_civil_e_construcao

Common Values

ValueCountFrequency (%)
formacao_de_professores_em_areas_especificas_(exceto_letras) 9
19.6%
producao_agricola,_agropecuaria_e_zootecnia 6
13.0%
eletronica_e_automacao 3
 
6.5%
pesca 3
 
6.5%
formacao_de_professores_de_letras 2
 
4.3%
economia 2
 
4.3%
engenharia_civil_e_construcao 2
 
4.3%
biologia 2
 
4.3%
gestao_e_administracao 2
 
4.3%
gestao_e_desenvolvimento_de_sistemas_de_informacao 2
 
4.3%
Other values (13) 13
28.3%
Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Memory size736.0 B
bacharelado
33 
licenciatura
12 
tecnologico
 
1

Unique

Unique1 ?
Unique (%)2.2%

Sample

1st rowbacharelado
2nd rowbacharelado
3rd rowbacharelado
4th rowbacharelado
5th rowbacharelado

Common Values

ValueCountFrequency (%)
bacharelado 33
71.7%
licenciatura 12
 
26.1%
tecnologico 1
 
2.2%

Common Values (Plot)

2023-10-04T17:06:29.021878image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

in_gratuito
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:29.177580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-10-04T17:06:29.339128image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

tp_modalidade_ensino
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:29.519312image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-10-04T17:06:29.670582image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

tp_nivel_academico
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:29.836664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-10-04T17:06:29.984362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

qt_curso
Real number (ℝ)

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1
Minimum1
Maximum1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:30.140516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q31
95-th percentile1
Maximum1
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean1
Median Absolute Deviation (MAD)0
Skewness0
Sum46
Variance0
MonotonicityIncreasing
2023-10-04T17:06:30.290125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%
ValueCountFrequency (%)
1 46
100.0%

qt_vg_total
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean106.0869565
Minimum0
Maximum180
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:30.468748image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q1100
median100
Q3120
95-th percentile160
Maximum180
Range180
Interquartile range (IQR)20

Descriptive statistics

Standard deviation36.48307132
Coefficient of variation (CV)0.3438978034
Kurtosis2.055444654
Mean106.0869565
Median Absolute Deviation (MAD)20
Skewness-0.7732008698
Sum4880
Variance1331.014493
MonotonicityNot monotonic
2023-10-04T17:06:30.661356image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
100 15
32.6%
120 12
26.1%
80 5
 
10.9%
140 5
 
10.9%
160 2
 
4.3%
60 2
 
4.3%
0 2
 
4.3%
180 2
 
4.3%
40 1
 
2.2%
ValueCountFrequency (%)
0 2
 
4.3%
40 1
 
2.2%
60 2
 
4.3%
80 5
 
10.9%
100 15
32.6%
ValueCountFrequency (%)
180 2
 
4.3%
160 2
 
4.3%
140 5
 
10.9%
120 12
26.1%
100 15
32.6%

qt_vg_total_diurno
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean76.52173913
Minimum0
Maximum160
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:30.874713image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q145
median80
Q3120
95-th percentile140
Maximum160
Range160
Interquartile range (IQR)75

Descriptive statistics

Standard deviation50.82507654
Coefficient of variation (CV)0.6641913412
Kurtosis-1.131601273
Mean76.52173913
Median Absolute Deviation (MAD)40
Skewness-0.3993991829
Sum3520
Variance2583.188406
MonotonicityNot monotonic
2023-10-04T17:06:31.059135image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 11
23.9%
120 10
21.7%
80 7
15.2%
60 6
13.0%
140 5
10.9%
100 5
10.9%
40 1
 
2.2%
160 1
 
2.2%
ValueCountFrequency (%)
0 11
23.9%
40 1
 
2.2%
60 6
13.0%
80 7
15.2%
100 5
10.9%
ValueCountFrequency (%)
160 1
 
2.2%
140 5
10.9%
120 10
21.7%
100 5
10.9%
80 7
15.2%

qt_vg_total_noturno
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.56521739
Minimum0
Maximum100
Zeros31
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:31.290088image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q390
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)90

Descriptive statistics

Standard deviation44.36998594
Coefficient of variation (CV)1.500749524
Kurtosis-1.109320233
Mean29.56521739
Median Absolute Deviation (MAD)0
Skewness0.917462192
Sum1360
Variance1968.695652
MonotonicityNot monotonic
2023-10-04T17:06:31.462550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 31
67.4%
100 12
 
26.1%
60 2
 
4.3%
40 1
 
2.2%
ValueCountFrequency (%)
0 31
67.4%
40 1
 
2.2%
60 2
 
4.3%
100 12
 
26.1%
ValueCountFrequency (%)
100 12
 
26.1%
60 2
 
4.3%
40 1
 
2.2%
0 31
67.4%

qt_vg_total_ead
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:31.648639image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:31.808791image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_vg_nova
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean84.34782609
Minimum0
Maximum160
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:31.991324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile45
Q180
median80
Q380
95-th percentile120
Maximum160
Range160
Interquartile range (IQR)0

Descriptive statistics

Standard deviation28.25693023
Coefficient of variation (CV)0.335004843
Kurtosis3.143496131
Mean84.34782609
Median Absolute Deviation (MAD)0
Skewness-0.4041004932
Sum3880
Variance798.4541063
MonotonicityNot monotonic
2023-10-04T17:06:32.189114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
80 31
67.4%
120 7
 
15.2%
60 2
 
4.3%
0 2
 
4.3%
40 1
 
2.2%
160 1
 
2.2%
140 1
 
2.2%
100 1
 
2.2%
ValueCountFrequency (%)
0 2
 
4.3%
40 1
 
2.2%
60 2
 
4.3%
80 31
67.4%
100 1
 
2.2%
ValueCountFrequency (%)
160 1
 
2.2%
140 1
 
2.2%
120 7
 
15.2%
100 1
 
2.2%
80 31
67.4%

qt_vg_proc_seletivo
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:32.392447image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:32.562734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_vg_remanesc
Real number (ℝ)

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.73913043
Minimum0
Maximum40
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:32.903630image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q120
median20
Q340
95-th percentile40
Maximum40
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation14.49970848
Coefficient of variation (CV)0.6669865899
Kurtosis-1.033360536
Mean21.73913043
Median Absolute Deviation (MAD)20
Skewness-0.1341535362
Sum1000
Variance210.2415459
MonotonicityNot monotonic
2023-10-04T17:06:33.060341image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
20 22
47.8%
40 14
30.4%
0 10
21.7%
ValueCountFrequency (%)
0 10
21.7%
20 22
47.8%
40 14
30.4%
ValueCountFrequency (%)
40 14
30.4%
20 22
47.8%
0 10
21.7%

qt_vg_prog_especial
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:33.252570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:33.407362image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_inscrito_total
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean808.4565217
Minimum0
Maximum3912
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:33.639389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile133.5
Q1443
median611
Q3892.75
95-th percentile1765
Maximum3912
Range3912
Interquartile range (IQR)449.75

Descriptive statistics

Standard deviation710.5187059
Coefficient of variation (CV)0.8788582772
Kurtosis9.309113108
Mean808.4565217
Median Absolute Deviation (MAD)241
Skewness2.727323633
Sum37189
Variance504836.8314
MonotonicityNot monotonic
2023-10-04T17:06:33.904075image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
790 2
 
4.3%
0 2
 
4.3%
360 1
 
2.2%
1072 1
 
2.2%
561 1
 
2.2%
454 1
 
2.2%
1809 1
 
2.2%
920 1
 
2.2%
657 1
 
2.2%
826 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
0 2
4.3%
84 1
2.2%
282 1
2.2%
289 1
2.2%
301 1
2.2%
ValueCountFrequency (%)
3912 1
2.2%
3137 1
2.2%
1809 1
2.2%
1633 1
2.2%
1434 1
2.2%

qt_inscrito_total_diurno
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean590.1086957
Minimum0
Maximum3137
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:34.187499image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1118.25
median458.5
Q3763.25
95-th percentile1765
Maximum3137
Range3137
Interquartile range (IQR)645

Descriptive statistics

Standard deviation638.5333622
Coefficient of variation (CV)1.082060588
Kurtosis4.851526695
Mean590.1086957
Median Absolute Deviation (MAD)349
Skewness1.915022216
Sum27145
Variance407724.8546
MonotonicityNot monotonic
2023-10-04T17:06:34.436009image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 11
23.9%
360 1
 
2.2%
1633 1
 
2.2%
449 1
 
2.2%
584 1
 
2.2%
561 1
 
2.2%
221 1
 
2.2%
1809 1
 
2.2%
308 1
 
2.2%
3137 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 11
23.9%
84 1
 
2.2%
221 1
 
2.2%
229 1
 
2.2%
282 1
 
2.2%
ValueCountFrequency (%)
3137 1
2.2%
2080 1
2.2%
1809 1
2.2%
1633 1
2.2%
1404 1
2.2%

qt_inscrito_total_noturno
Real number (ℝ)

Distinct16
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.3478261
Minimum0
Maximum1832
Zeros31
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:34.654702image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3373.5
95-th percentile891.25
Maximum1832
Range1832
Interquartile range (IQR)373.5

Descriptive statistics

Standard deviation385.617209
Coefficient of variation (CV)1.76606846
Kurtosis5.708268552
Mean218.3478261
Median Absolute Deviation (MAD)0
Skewness2.178261678
Sum10044
Variance148700.6319
MonotonicityNot monotonic
2023-10-04T17:06:34.876853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 31
67.4%
1832 1
 
2.2%
829 1
 
2.2%
704 1
 
2.2%
354 1
 
2.2%
883 1
 
2.2%
233 1
 
2.2%
920 1
 
2.2%
657 1
 
2.2%
518 1
 
2.2%
Other values (6) 6
 
13.0%
ValueCountFrequency (%)
0 31
67.4%
233 1
 
2.2%
289 1
 
2.2%
354 1
 
2.2%
380 1
 
2.2%
ValueCountFrequency (%)
1832 1
2.2%
920 1
2.2%
894 1
2.2%
883 1
2.2%
829 1
2.2%

qt_inscrito_total_ead
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:35.072345image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:35.230786image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_insc_vg_nova
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean800.8043478
Minimum0
Maximum3898
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:35.438642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile133.5
Q1443
median610.5
Q3888.25
95-th percentile1761
Maximum3898
Range3898
Interquartile range (IQR)445.25

Descriptive statistics

Standard deviation700.3801069
Coefficient of variation (CV)0.8745957847
Kurtosis9.491610757
Mean800.8043478
Median Absolute Deviation (MAD)242
Skewness2.740631825
Sum36837
Variance490532.2942
MonotonicityNot monotonic
2023-10-04T17:06:35.679668image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
784 2
 
4.3%
0 2
 
4.3%
360 1
 
2.2%
1055 1
 
2.2%
558 1
 
2.2%
450 1
 
2.2%
1809 1
 
2.2%
904 1
 
2.2%
633 1
 
2.2%
816 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
0 2
4.3%
84 1
2.2%
282 1
2.2%
289 1
2.2%
301 1
2.2%
ValueCountFrequency (%)
3898 1
2.2%
3036 1
2.2%
1809 1
2.2%
1617 1
2.2%
1406 1
2.2%

qt_insc_proc_seletivo
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:35.896457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:36.039547image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_insc_vg_remanesc
Real number (ℝ)

Distinct18
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.652173913
Minimum0
Maximum101
Zeros14
Zeros (%)30.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:36.224800image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q38.75
95-th percentile22.5
Maximum101
Range101
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation15.71441998
Coefficient of variation (CV)2.053588974
Kurtosis28.55117787
Mean7.652173913
Median Absolute Deviation (MAD)3
Skewness4.91899952
Sum352
Variance246.9429952
MonotonicityNot monotonic
2023-10-04T17:06:36.411402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 14
30.4%
1 6
13.0%
3 4
 
8.7%
6 3
 
6.5%
17 2
 
4.3%
4 2
 
4.3%
16 2
 
4.3%
9 2
 
4.3%
7 2
 
4.3%
8 1
 
2.2%
Other values (8) 8
17.4%
ValueCountFrequency (%)
0 14
30.4%
1 6
13.0%
2 1
 
2.2%
3 4
 
8.7%
4 2
 
4.3%
ValueCountFrequency (%)
101 1
2.2%
28 1
2.2%
24 1
2.2%
18 1
2.2%
17 2
4.3%

qt_insc_vg_prog_especial
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:36.581747image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:36.736619image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.13043478
Minimum0
Maximum155
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:36.935861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.5
Q160
median74.5
Q387.25
95-th percentile121.25
Maximum155
Range155
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation31.27839773
Coefficient of variation (CV)0.416321266
Kurtosis0.7342868434
Mean75.13043478
Median Absolute Deviation (MAD)14.5
Skewness-0.03474377963
Sum3456
Variance978.3381643
MonotonicityNot monotonic
2023-10-04T17:06:37.171981image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
60 4
 
8.7%
114 2
 
4.3%
74 2
 
4.3%
75 2
 
4.3%
0 2
 
4.3%
85 2
 
4.3%
76 2
 
4.3%
119 2
 
4.3%
22 1
 
2.2%
70 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 2
4.3%
22 1
2.2%
36 1
2.2%
37 1
2.2%
42 1
2.2%
ValueCountFrequency (%)
155 1
2.2%
130 1
2.2%
122 1
2.2%
119 2
4.3%
114 2
4.3%

qt_ing_fem
Real number (ℝ)

Distinct31
Distinct (%)67.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.23913043
Minimum0
Maximum88
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:37.431002image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q117.25
median30.5
Q344
95-th percentile66.5
Maximum88
Range88
Interquartile range (IQR)26.75

Descriptive statistics

Standard deviation19.56321353
Coefficient of variation (CV)0.606815794
Kurtosis0.8559009404
Mean32.23913043
Median Absolute Deviation (MAD)13.5
Skewness0.8417108488
Sum1483
Variance382.7193237
MonotonicityNot monotonic
2023-10-04T17:06:37.640235image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
44 4
 
8.7%
16 3
 
6.5%
18 3
 
6.5%
19 3
 
6.5%
36 2
 
4.3%
13 2
 
4.3%
30 2
 
4.3%
46 2
 
4.3%
32 2
 
4.3%
0 2
 
4.3%
Other values (21) 21
45.7%
ValueCountFrequency (%)
0 2
4.3%
8 1
2.2%
12 1
2.2%
13 2
4.3%
14 1
2.2%
ValueCountFrequency (%)
88 1
2.2%
84 1
2.2%
69 1
2.2%
59 1
2.2%
53 1
2.2%

qt_ing_masc
Real number (ℝ)

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.89130435
Minimum0
Maximum100
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:37.867666image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.25
Q126.5
median36
Q360
95-th percentile90.75
Maximum100
Range100
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation24.76308028
Coefficient of variation (CV)0.577345004
Kurtosis-0.2448715913
Mean42.89130435
Median Absolute Deviation (MAD)15
Skewness0.5502318549
Sum1973
Variance613.2101449
MonotonicityNot monotonic
2023-10-04T17:06:38.126275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
24 3
 
6.5%
28 3
 
6.5%
60 2
 
4.3%
51 2
 
4.3%
30 2
 
4.3%
29 2
 
4.3%
17 2
 
4.3%
36 2
 
4.3%
0 2
 
4.3%
62 1
 
2.2%
Other values (25) 25
54.3%
ValueCountFrequency (%)
0 2
4.3%
9 1
2.2%
14 1
2.2%
16 1
2.2%
17 2
4.3%
ValueCountFrequency (%)
100 1
2.2%
98 1
2.2%
93 1
2.2%
84 1
2.2%
75 1
2.2%

qt_ing_diurno
Real number (ℝ)

Distinct27
Distinct (%)58.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.54347826
Minimum0
Maximum122
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:38.338073image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q125.5
median58
Q375.75
95-th percentile117.75
Maximum122
Range122
Interquartile range (IQR)50.25

Descriptive statistics

Standard deviation38.43823705
Coefficient of variation (CV)0.7178883087
Kurtosis-0.9583618465
Mean53.54347826
Median Absolute Deviation (MAD)21.5
Skewness0.0007969688747
Sum2463
Variance1477.498068
MonotonicityNot monotonic
2023-10-04T17:06:38.542218image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 11
23.9%
60 3
 
6.5%
42 3
 
6.5%
37 2
 
4.3%
119 2
 
4.3%
85 2
 
4.3%
75 2
 
4.3%
72 2
 
4.3%
48 1
 
2.2%
78 1
 
2.2%
Other values (17) 17
37.0%
ValueCountFrequency (%)
0 11
23.9%
22 1
 
2.2%
36 1
 
2.2%
37 2
 
4.3%
40 1
 
2.2%
ValueCountFrequency (%)
122 1
2.2%
119 2
4.3%
114 1
2.2%
111 1
2.2%
106 1
2.2%

qt_ing_noturno
Real number (ℝ)

Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.58695652
Minimum0
Maximum89
Zeros31
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:38.752394image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q353.5
95-th percentile83
Maximum89
Range89
Interquartile range (IQR)53.5

Descriptive statistics

Standard deviation32.91779396
Coefficient of variation (CV)1.524892772
Kurtosis-0.7434746523
Mean21.58695652
Median Absolute Deviation (MAD)0
Skewness1.023321151
Sum993
Variance1083.581159
MonotonicityNot monotonic
2023-10-04T17:06:38.923615image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 31
67.4%
83 2
 
4.3%
74 2
 
4.3%
34 1
 
2.2%
84 1
 
2.2%
40 1
 
2.2%
81 1
 
2.2%
37 1
 
2.2%
89 1
 
2.2%
60 1
 
2.2%
Other values (4) 4
 
8.7%
ValueCountFrequency (%)
0 31
67.4%
34 1
 
2.2%
37 1
 
2.2%
40 1
 
2.2%
58 1
 
2.2%
ValueCountFrequency (%)
89 1
2.2%
84 1
2.2%
83 2
4.3%
81 1
2.2%
74 2
4.3%

qt_ing_vg_nova
Real number (ℝ)

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean71.93478261
Minimum0
Maximum141
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:39.122838image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.5
Q160
median71
Q379
95-th percentile118.75
Maximum141
Range141
Interquartile range (IQR)19

Descriptive statistics

Standard deviation29.25550446
Coefficient of variation (CV)0.4066948338
Kurtosis0.80398356
Mean71.93478261
Median Absolute Deviation (MAD)11
Skewness-0.06179134912
Sum3309
Variance855.8845411
MonotonicityNot monotonic
2023-10-04T17:06:39.512356image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
76 3
 
6.5%
60 3
 
6.5%
72 2
 
4.3%
75 2
 
4.3%
79 2
 
4.3%
69 2
 
4.3%
0 2
 
4.3%
67 2
 
4.3%
113 2
 
4.3%
47 1
 
2.2%
Other values (25) 25
54.3%
ValueCountFrequency (%)
0 2
4.3%
22 1
2.2%
36 1
2.2%
37 1
2.2%
42 1
2.2%
ValueCountFrequency (%)
141 1
2.2%
127 1
2.2%
119 1
2.2%
118 1
2.2%
113 2
4.3%

qt_ing_vestibular
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.195652174
Minimum0
Maximum38
Zeros35
Zeros (%)76.1%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:39.706416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14.25
Maximum38
Range38
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8.218190028
Coefficient of variation (CV)2.571678512
Kurtosis11.61985452
Mean3.195652174
Median Absolute Deviation (MAD)0
Skewness3.344709965
Sum147
Variance67.53864734
MonotonicityNot monotonic
2023-10-04T17:06:39.878634image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 35
76.1%
4 2
 
4.3%
11 2
 
4.3%
12 1
 
2.2%
38 1
 
2.2%
15 1
 
2.2%
10 1
 
2.2%
36 1
 
2.2%
1 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
0 35
76.1%
1 1
 
2.2%
4 2
 
4.3%
5 1
 
2.2%
10 1
 
2.2%
ValueCountFrequency (%)
38 1
2.2%
36 1
2.2%
15 1
2.2%
12 1
2.2%
11 2
4.3%

qt_ing_enem
Real number (ℝ)

Distinct32
Distinct (%)69.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean68.73913043
Minimum0
Maximum141
Zeros3
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:40.099355image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.25
Q157
median69.5
Q378.75
95-th percentile113
Maximum141
Range141
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation29.70629173
Coefficient of variation (CV)0.4321598417
Kurtosis0.9708101903
Mean68.73913043
Median Absolute Deviation (MAD)9.5
Skewness-0.2221030748
Sum3162
Variance882.4637681
MonotonicityNot monotonic
2023-10-04T17:06:40.310516image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
72 3
 
6.5%
0 3
 
6.5%
60 3
 
6.5%
67 2
 
4.3%
75 2
 
4.3%
53 2
 
4.3%
79 2
 
4.3%
69 2
 
4.3%
76 2
 
4.3%
100 2
 
4.3%
Other values (22) 23
50.0%
ValueCountFrequency (%)
0 3
6.5%
21 1
 
2.2%
33 1
 
2.2%
42 1
 
2.2%
43 1
 
2.2%
ValueCountFrequency (%)
141 1
2.2%
127 1
2.2%
113 2
4.3%
108 1
2.2%
104 1
2.2%

qt_ing_avaliacao_seriada
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:40.489010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:40.635814image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_selecao_simplifica
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:40.800955image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:40.954017image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_egr
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:41.120286image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:41.267197image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_outro_tipo_selecao
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:41.437466image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:41.577550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_proc_seletivo
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:41.736419image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:41.893087image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_vg_remanesc
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.956521739
Minimum0
Maximum11
Zeros22
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:42.068468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile8.25
Maximum11
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.828085507
Coefficient of variation (CV)1.445465926
Kurtosis1.964252974
Mean1.956521739
Median Absolute Deviation (MAD)1
Skewness1.611476025
Sum90
Variance7.998067633
MonotonicityNot monotonic
2023-10-04T17:06:42.236253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 22
47.8%
1 8
 
17.4%
2 3
 
6.5%
5 3
 
6.5%
6 3
 
6.5%
9 2
 
4.3%
3 2
 
4.3%
4 2
 
4.3%
11 1
 
2.2%
ValueCountFrequency (%)
0 22
47.8%
1 8
 
17.4%
2 3
 
6.5%
3 2
 
4.3%
4 2
 
4.3%
ValueCountFrequency (%)
11 1
 
2.2%
9 2
4.3%
6 3
6.5%
5 3
6.5%
4 2
4.3%

qt_ing_vg_prog_especial
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:42.411332image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:42.573434image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_outra_forma
Real number (ℝ)

Distinct7
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.239130435
Minimum0
Maximum21
Zeros29
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:42.737712image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.75
Maximum21
Range21
Interquartile range (IQR)1

Descriptive statistics

Standard deviation3.246774691
Coefficient of variation (CV)2.620204137
Kurtosis31.71972058
Mean1.239130435
Median Absolute Deviation (MAD)0
Skewness5.270177006
Sum57
Variance10.54154589
MonotonicityNot monotonic
2023-10-04T17:06:42.889879image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 29
63.0%
1 6
 
13.0%
3 5
 
10.9%
2 3
 
6.5%
4 1
 
2.2%
5 1
 
2.2%
21 1
 
2.2%
ValueCountFrequency (%)
0 29
63.0%
1 6
 
13.0%
2 3
 
6.5%
3 5
 
10.9%
4 1
 
2.2%
ValueCountFrequency (%)
21 1
 
2.2%
5 1
 
2.2%
4 1
 
2.2%
3 5
10.9%
2 3
6.5%

qt_ing_0_17
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.173913043
Minimum0
Maximum8
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:43.074378image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.5
Q33.75
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.96982061
Coefficient of variation (CV)0.9061174807
Kurtosis0.2013276664
Mean2.173913043
Median Absolute Deviation (MAD)1.5
Skewness0.9138715348
Sum100
Variance3.880193237
MonotonicityNot monotonic
2023-10-04T17:06:43.255581image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 14
30.4%
0 9
19.6%
2 7
15.2%
5 6
13.0%
3 4
 
8.7%
4 4
 
8.7%
8 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
0 9
19.6%
1 14
30.4%
2 7
15.2%
3 4
 
8.7%
4 4
 
8.7%
ValueCountFrequency (%)
8 1
 
2.2%
6 1
 
2.2%
5 6
13.0%
4 4
8.7%
3 4
8.7%

qt_ing_18_24
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54.56521739
Minimum0
Maximum115
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:43.469828image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.75
Q142.25
median52.5
Q367
95-th percentile98
Maximum115
Range115
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation24.83604207
Coefficient of variation (CV)0.4551625239
Kurtosis0.5172201383
Mean54.56521739
Median Absolute Deviation (MAD)12
Skewness0.05472626171
Sum2510
Variance616.8289855
MonotonicityNot monotonic
2023-10-04T17:06:43.686988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
67 2
 
4.3%
51 2
 
4.3%
50 2
 
4.3%
42 2
 
4.3%
40 2
 
4.3%
53 2
 
4.3%
64 2
 
4.3%
0 2
 
4.3%
49 2
 
4.3%
44 2
 
4.3%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 2
4.3%
11 1
2.2%
14 1
2.2%
19 1
2.2%
24 1
2.2%
ValueCountFrequency (%)
115 1
2.2%
105 1
2.2%
100 1
2.2%
92 1
2.2%
88 1
2.2%

qt_ing_25_29
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.456521739
Minimum0
Maximum17
Zeros3
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:43.908795image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q14
median6
Q311
95-th percentile16
Maximum17
Range17
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.731485657
Coefficient of variation (CV)0.6345432659
Kurtosis-0.7988260747
Mean7.456521739
Median Absolute Deviation (MAD)3
Skewness0.3985037321
Sum343
Variance22.38695652
MonotonicityNot monotonic
2023-10-04T17:06:44.103844image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
6 6
13.0%
3 5
10.9%
4 5
10.9%
11 5
10.9%
8 4
8.7%
5 3
 
6.5%
0 3
 
6.5%
16 3
 
6.5%
13 2
 
4.3%
7 2
 
4.3%
Other values (7) 8
17.4%
ValueCountFrequency (%)
0 3
6.5%
1 1
 
2.2%
2 1
 
2.2%
3 5
10.9%
4 5
10.9%
ValueCountFrequency (%)
17 1
 
2.2%
16 3
6.5%
15 1
 
2.2%
14 1
 
2.2%
13 2
4.3%

qt_ing_30_34
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.934782609
Minimum0
Maximum12
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:44.309217image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile9
Maximum12
Range12
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.006675343
Coefficient of variation (CV)0.7641274352
Kurtosis-0.009965551184
Mean3.934782609
Median Absolute Deviation (MAD)2
Skewness0.7629433766
Sum181
Variance9.040096618
MonotonicityNot monotonic
2023-10-04T17:06:44.496438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 9
19.6%
5 9
19.6%
3 8
17.4%
9 4
8.7%
0 4
8.7%
2 3
 
6.5%
4 3
 
6.5%
6 2
 
4.3%
10 1
 
2.2%
12 1
 
2.2%
Other values (2) 2
 
4.3%
ValueCountFrequency (%)
0 4
8.7%
1 9
19.6%
2 3
 
6.5%
3 8
17.4%
4 3
 
6.5%
ValueCountFrequency (%)
12 1
 
2.2%
10 1
 
2.2%
9 4
8.7%
8 1
 
2.2%
7 1
 
2.2%

qt_ing_35_39
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.891304348
Minimum0
Maximum8
Zeros8
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:44.712400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.5
Q34
95-th percentile7.75
Maximum8
Range8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.349735312
Coefficient of variation (CV)0.8126904088
Kurtosis-0.2907966494
Mean2.891304348
Median Absolute Deviation (MAD)1.5
Skewness0.6842066318
Sum133
Variance5.521256039
MonotonicityNot monotonic
2023-10-04T17:06:44.879176image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 8
17.4%
2 8
17.4%
4 8
17.4%
1 7
15.2%
3 6
13.0%
8 3
 
6.5%
6 2
 
4.3%
5 2
 
4.3%
7 2
 
4.3%
ValueCountFrequency (%)
0 8
17.4%
1 7
15.2%
2 8
17.4%
3 6
13.0%
4 8
17.4%
ValueCountFrequency (%)
8 3
 
6.5%
7 2
 
4.3%
6 2
 
4.3%
5 2
 
4.3%
4 8
17.4%

qt_ing_40_49
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.934782609
Minimum0
Maximum11
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:45.074455image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile7.75
Maximum11
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.760049709
Coefficient of variation (CV)0.9404613823
Kurtosis0.112418907
Mean2.934782609
Median Absolute Deviation (MAD)2
Skewness0.8663713159
Sum135
Variance7.617874396
MonotonicityNot monotonic
2023-10-04T17:06:45.230695image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
1 10
21.7%
0 10
21.7%
3 5
10.9%
2 4
 
8.7%
4 4
 
8.7%
5 4
 
8.7%
6 3
 
6.5%
7 3
 
6.5%
8 2
 
4.3%
11 1
 
2.2%
ValueCountFrequency (%)
0 10
21.7%
1 10
21.7%
2 4
 
8.7%
3 5
10.9%
4 4
 
8.7%
ValueCountFrequency (%)
11 1
 
2.2%
8 2
4.3%
7 3
6.5%
6 3
6.5%
5 4
8.7%

qt_ing_50_59
Real number (ℝ)

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.9347826087
Minimum0
Maximum5
Zeros23
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:45.390815image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile3.75
Maximum5
Range5
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.323332056
Coefficient of variation (CV)1.415657548
Kurtosis2.672206255
Mean0.9347826087
Median Absolute Deviation (MAD)0.5
Skewness1.748677888
Sum43
Variance1.751207729
MonotonicityNot monotonic
2023-10-04T17:06:45.551859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 23
50.0%
1 14
30.4%
2 3
 
6.5%
3 3
 
6.5%
5 2
 
4.3%
4 1
 
2.2%
ValueCountFrequency (%)
0 23
50.0%
1 14
30.4%
2 3
 
6.5%
3 3
 
6.5%
4 1
 
2.2%
ValueCountFrequency (%)
5 2
 
4.3%
4 1
 
2.2%
3 3
 
6.5%
2 3
 
6.5%
1 14
30.4%

qt_ing_60_mais
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2391304348
Minimum0
Maximum4
Zeros39
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:45.718457image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum4
Range4
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.7050542173
Coefficient of variation (CV)2.948408545
Kurtosis18.52058324
Mean0.2391304348
Median Absolute Deviation (MAD)0
Skewness3.998617289
Sum11
Variance0.4971014493
MonotonicityNot monotonic
2023-10-04T17:06:45.906810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 39
84.8%
1 5
 
10.9%
2 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
0 39
84.8%
1 5
 
10.9%
2 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
4 1
 
2.2%
2 1
 
2.2%
1 5
 
10.9%
0 39
84.8%

qt_ing_branca
Real number (ℝ)

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.93478261
Minimum0
Maximum57
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:46.122564image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q119
median28
Q334.75
95-th percentile48.75
Maximum57
Range57
Interquartile range (IQR)15.75

Descriptive statistics

Standard deviation13.27889248
Coefficient of variation (CV)0.4930016579
Kurtosis-0.2241196711
Mean26.93478261
Median Absolute Deviation (MAD)9
Skewness-0.05660132599
Sum1239
Variance176.3289855
MonotonicityNot monotonic
2023-10-04T17:06:46.306730image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
31 3
 
6.5%
19 3
 
6.5%
25 3
 
6.5%
28 3
 
6.5%
5 2
 
4.3%
35 2
 
4.3%
24 2
 
4.3%
15 2
 
4.3%
34 2
 
4.3%
0 2
 
4.3%
Other values (20) 22
47.8%
ValueCountFrequency (%)
0 2
4.3%
5 2
4.3%
8 1
2.2%
11 2
4.3%
13 1
2.2%
ValueCountFrequency (%)
57 1
2.2%
50 1
2.2%
49 1
2.2%
48 1
2.2%
44 1
2.2%

qt_ing_preta
Real number (ℝ)

Distinct18
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.152173913
Minimum0
Maximum25
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:46.489738image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15.25
median7.5
Q312.75
95-th percentile18
Maximum25
Range25
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation5.387093182
Coefficient of variation (CV)0.5886135068
Kurtosis0.5501971959
Mean9.152173913
Median Absolute Deviation (MAD)3.5
Skewness0.7960172371
Sum421
Variance29.02077295
MonotonicityNot monotonic
2023-10-04T17:06:46.672767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
7 6
13.0%
6 5
10.9%
12 4
 
8.7%
4 4
 
8.7%
5 4
 
8.7%
13 3
 
6.5%
8 3
 
6.5%
9 2
 
4.3%
18 2
 
4.3%
0 2
 
4.3%
Other values (8) 11
23.9%
ValueCountFrequency (%)
0 2
 
4.3%
3 2
 
4.3%
4 4
8.7%
5 4
8.7%
6 5
10.9%
ValueCountFrequency (%)
25 1
2.2%
21 1
2.2%
18 2
4.3%
17 1
2.2%
15 2
4.3%

qt_ing_parda
Real number (ℝ)

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.7173913
Minimum0
Maximum76
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:46.889090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11.75
Q129.25
median35.5
Q343
95-th percentile62
Maximum76
Range76
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation14.91704922
Coefficient of variation (CV)0.4176410616
Kurtosis1.141074789
Mean35.7173913
Median Absolute Deviation (MAD)7.5
Skewness0.03153524803
Sum1643
Variance222.5183575
MonotonicityNot monotonic
2023-10-04T17:06:47.265159image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
31 4
 
8.7%
41 3
 
6.5%
44 3
 
6.5%
43 2
 
4.3%
0 2
 
4.3%
25 2
 
4.3%
32 2
 
4.3%
40 2
 
4.3%
30 2
 
4.3%
39 2
 
4.3%
Other values (20) 22
47.8%
ValueCountFrequency (%)
0 2
4.3%
11 1
2.2%
14 1
2.2%
18 1
2.2%
20 1
2.2%
ValueCountFrequency (%)
76 1
2.2%
65 1
2.2%
63 1
2.2%
59 1
2.2%
52 1
2.2%

qt_ing_amarela
Real number (ℝ)

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8043478261
Minimum0
Maximum4
Zeros21
Zeros (%)45.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:47.470825image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile2
Maximum4
Range4
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.9337990556
Coefficient of variation (CV)1.160939366
Kurtosis1.820359748
Mean0.8043478261
Median Absolute Deviation (MAD)1
Skewness1.266141603
Sum37
Variance0.8719806763
MonotonicityNot monotonic
2023-10-04T17:06:47.653471image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 21
45.7%
1 16
34.8%
2 7
 
15.2%
4 1
 
2.2%
3 1
 
2.2%
ValueCountFrequency (%)
0 21
45.7%
1 16
34.8%
2 7
 
15.2%
3 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
4 1
 
2.2%
3 1
 
2.2%
2 7
 
15.2%
1 16
34.8%
0 21
45.7%

qt_ing_indigena
Real number (ℝ)

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4782608696
Minimum0
Maximum5
Zeros37
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:47.835086image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.168838558
Coefficient of variation (CV)2.443935167
Kurtosis6.250403626
Mean0.4782608696
Median Absolute Deviation (MAD)0
Skewness2.629851361
Sum22
Variance1.366183575
MonotonicityNot monotonic
2023-10-04T17:06:48.006682image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 37
80.4%
1 4
 
8.7%
3 3
 
6.5%
4 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
0 37
80.4%
1 4
 
8.7%
3 3
 
6.5%
4 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
5 1
 
2.2%
4 1
 
2.2%
3 3
 
6.5%
1 4
 
8.7%
0 37
80.4%

qt_ing_cornd
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.043478261
Minimum0
Maximum10
Zeros17
Zeros (%)37.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:48.200684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile7.5
Maximum10
Range10
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.467175819
Coefficient of variation (CV)1.207341358
Kurtosis2.485905999
Mean2.043478261
Median Absolute Deviation (MAD)1
Skewness1.590738692
Sum94
Variance6.086956522
MonotonicityNot monotonic
2023-10-04T17:06:48.378430image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 17
37.0%
1 7
15.2%
2 7
15.2%
4 5
 
10.9%
3 5
 
10.9%
5 1
 
2.2%
10 1
 
2.2%
6 1
 
2.2%
9 1
 
2.2%
8 1
 
2.2%
ValueCountFrequency (%)
0 17
37.0%
1 7
15.2%
2 7
15.2%
3 5
 
10.9%
4 5
 
10.9%
ValueCountFrequency (%)
10 1
2.2%
9 1
2.2%
8 1
2.2%
6 1
2.2%
5 1
2.2%

qt_mat
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.5217391
Minimum1
Maximum709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:48.592654image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.5
Q1217
median285
Q3371
95-th percentile471.5
Maximum709
Range708
Interquartile range (IQR)154

Descriptive statistics

Standard deviation141.6582333
Coefficient of variation (CV)0.504981303
Kurtosis1.12851906
Mean280.5217391
Median Absolute Deviation (MAD)70.5
Skewness0.3833548268
Sum12904
Variance20067.05507
MonotonicityNot monotonic
2023-10-04T17:06:48.834924image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
304 2
 
4.3%
303 2
 
4.3%
215 2
 
4.3%
123 1
 
2.2%
600 1
 
2.2%
245 1
 
2.2%
258 1
 
2.2%
239 1
 
2.2%
378 1
 
2.2%
394 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
1 1
2.2%
10 1
2.2%
50 1
2.2%
72 1
2.2%
86 1
2.2%
ValueCountFrequency (%)
709 1
2.2%
600 1
2.2%
482 1
2.2%
440 1
2.2%
436 1
2.2%

qt_mat_fem
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.4130435
Minimum0
Maximum433
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:49.088508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile18.25
Q152.25
median122.5
Q3159.5
95-th percentile245.5
Maximum433
Range433
Interquartile range (IQR)107.25

Descriptive statistics

Standard deviation90.32277333
Coefficient of variation (CV)0.7318738018
Kurtosis2.851006377
Mean123.4130435
Median Absolute Deviation (MAD)59.5
Skewness1.375355339
Sum5677
Variance8158.203382
MonotonicityNot monotonic
2023-10-04T17:06:49.321333image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
183 2
 
4.3%
52 2
 
4.3%
155 2
 
4.3%
74 1
 
2.2%
165 1
 
2.2%
61 1
 
2.2%
132 1
 
2.2%
142 1
 
2.2%
249 1
 
2.2%
433 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
0 1
2.2%
7 1
2.2%
18 1
2.2%
19 1
2.2%
25 1
2.2%
ValueCountFrequency (%)
433 1
2.2%
387 1
2.2%
249 1
2.2%
235 1
2.2%
232 1
2.2%

qt_mat_masc
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.1086957
Minimum1
Maximum339
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:49.556983image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile31.25
Q180.5
median140.5
Q3219.5
95-th percentile328
Maximum339
Range338
Interquartile range (IQR)139

Descriptive statistics

Standard deviation98.29529847
Coefficient of variation (CV)0.6256515469
Kurtosis-0.8355082763
Mean157.1086957
Median Absolute Deviation (MAD)67
Skewness0.4244498411
Sum7227
Variance9661.9657
MonotonicityNot monotonic
2023-10-04T17:06:49.806051image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
181 2
 
4.3%
328 2
 
4.3%
120 2
 
4.3%
104 1
 
2.2%
205 1
 
2.2%
197 1
 
2.2%
107 1
 
2.2%
236 1
 
2.2%
145 1
 
2.2%
327 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
1 1
2.2%
3 1
2.2%
31 1
2.2%
32 1
2.2%
42 1
2.2%
ValueCountFrequency (%)
339 1
2.2%
329 1
2.2%
328 2
4.3%
327 1
2.2%
322 1
2.2%

qt_mat_diurno
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192.7391304
Minimum0
Maximum600
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:50.037711image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q155.5
median189
Q3303.75
95-th percentile406.5
Maximum600
Range600
Interquartile range (IQR)248.25

Descriptive statistics

Standard deviation152.9267704
Coefficient of variation (CV)0.7934391426
Kurtosis-0.5635543786
Mean192.7391304
Median Absolute Deviation (MAD)126
Skewness0.3423990498
Sum8866
Variance23386.5971
MonotonicityNot monotonic
2023-10-04T17:06:50.238587image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 10
 
21.7%
163 2
 
4.3%
225 1
 
2.2%
257 1
 
2.2%
162 1
 
2.2%
245 1
 
2.2%
304 1
 
2.2%
113 1
 
2.2%
239 1
 
2.2%
123 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 10
21.7%
10 1
 
2.2%
50 1
 
2.2%
72 1
 
2.2%
86 1
 
2.2%
ValueCountFrequency (%)
600 1
2.2%
436 1
2.2%
413 1
2.2%
387 1
2.2%
381 1
2.2%

qt_mat_noturno
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean87.7826087
Minimum0
Maximum394
Zeros30
Zeros (%)65.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:50.453548image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3205.75
95-th percentile349.5
Maximum394
Range394
Interquartile range (IQR)205.75

Descriptive statistics

Standard deviation134.4460095
Coefficient of variation (CV)1.531579108
Kurtosis-0.4886984791
Mean87.7826087
Median Absolute Deviation (MAD)0
Skewness1.078143308
Sum4038
Variance18075.72947
MonotonicityNot monotonic
2023-10-04T17:06:50.692050image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 30
65.2%
394 1
 
2.2%
223 1
 
2.2%
302 1
 
2.2%
215 1
 
2.2%
255 1
 
2.2%
277 1
 
2.2%
257 1
 
2.2%
378 1
 
2.2%
178 1
 
2.2%
Other values (7) 7
 
15.2%
ValueCountFrequency (%)
0 30
65.2%
1 1
 
2.2%
145 1
 
2.2%
161 1
 
2.2%
178 1
 
2.2%
ValueCountFrequency (%)
394 1
2.2%
378 1
2.2%
359 1
2.2%
321 1
2.2%
304 1
2.2%

qt_mat_0_17
Real number (ℝ)

Distinct8
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.195652174
Minimum0
Maximum8
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:50.884703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1.5
Q33.75
95-th percentile5
Maximum8
Range8
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation1.99576847
Coefficient of variation (CV)0.9089638578
Kurtosis0.06827863507
Mean2.195652174
Median Absolute Deviation (MAD)1.5
Skewness0.8926930728
Sum101
Variance3.983091787
MonotonicityNot monotonic
2023-10-04T17:06:51.049416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
1 14
30.4%
0 9
19.6%
2 7
15.2%
5 7
15.2%
3 4
 
8.7%
4 3
 
6.5%
8 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
0 9
19.6%
1 14
30.4%
2 7
15.2%
3 4
 
8.7%
4 3
 
6.5%
ValueCountFrequency (%)
8 1
 
2.2%
6 1
 
2.2%
5 7
15.2%
4 3
6.5%
3 4
8.7%

qt_mat_18_24
Real number (ℝ)

Distinct44
Distinct (%)95.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean186.3913043
Minimum0
Maximum461
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:51.290074image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20.75
Q1140.25
median179.5
Q3254
95-th percentile317.5
Maximum461
Range461
Interquartile range (IQR)113.75

Descriptive statistics

Standard deviation96.09982732
Coefficient of variation (CV)0.5155810656
Kurtosis0.7866208575
Mean186.3913043
Median Absolute Deviation (MAD)47.5
Skewness0.3501881408
Sum8574
Variance9235.176812
MonotonicityNot monotonic
2023-10-04T17:06:51.523820image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
132 2
 
4.3%
254 2
 
4.3%
116 1
 
2.2%
260 1
 
2.2%
212 1
 
2.2%
158 1
 
2.2%
140 1
 
2.2%
187 1
 
2.2%
319 1
 
2.2%
402 1
 
2.2%
Other values (34) 34
73.9%
ValueCountFrequency (%)
0 1
2.2%
2 1
2.2%
19 1
2.2%
26 1
2.2%
53 1
2.2%
ValueCountFrequency (%)
461 1
2.2%
402 1
2.2%
319 1
2.2%
313 1
2.2%
300 1
2.2%

qt_mat_25_29
Real number (ℝ)

Distinct35
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.95652174
Minimum0
Maximum123
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:51.733519image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.25
Q134
median43.5
Q361.75
95-th percentile96.5
Maximum123
Range123
Interquartile range (IQR)27.75

Descriptive statistics

Standard deviation28.6852316
Coefficient of variation (CV)0.6108891915
Kurtosis0.1726865956
Mean46.95652174
Median Absolute Deviation (MAD)15.5
Skewness0.4099572219
Sum2160
Variance822.8425121
MonotonicityNot monotonic
2023-10-04T17:06:51.960733image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
42 3
 
6.5%
8 3
 
6.5%
46 3
 
6.5%
2 2
 
4.3%
59 2
 
4.3%
34 2
 
4.3%
40 2
 
4.3%
57 2
 
4.3%
38 1
 
2.2%
32 1
 
2.2%
Other values (25) 25
54.3%
ValueCountFrequency (%)
0 1
 
2.2%
2 2
4.3%
3 1
 
2.2%
8 3
6.5%
9 1
 
2.2%
ValueCountFrequency (%)
123 1
2.2%
105 1
2.2%
97 1
2.2%
95 1
2.2%
91 1
2.2%

qt_mat_30_34
Real number (ℝ)

Distinct28
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.67391304
Minimum0
Maximum57
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:52.185580image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19.5
median17
Q323.5
95-th percentile44.75
Maximum57
Range57
Interquartile range (IQR)14

Descriptive statistics

Standard deviation13.19099752
Coefficient of variation (CV)0.7063863629
Kurtosis0.7896530536
Mean18.67391304
Median Absolute Deviation (MAD)7.5
Skewness0.9346764024
Sum859
Variance174.0024155
MonotonicityNot monotonic
2023-10-04T17:06:52.363635image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
17 5
 
10.9%
2 3
 
6.5%
18 3
 
6.5%
12 3
 
6.5%
4 3
 
6.5%
16 3
 
6.5%
21 2
 
4.3%
33 2
 
4.3%
8 2
 
4.3%
22 2
 
4.3%
Other values (18) 18
39.1%
ValueCountFrequency (%)
0 1
 
2.2%
1 1
 
2.2%
2 3
6.5%
4 3
6.5%
6 1
 
2.2%
ValueCountFrequency (%)
57 1
2.2%
49 1
2.2%
46 1
2.2%
41 1
2.2%
38 1
2.2%

qt_mat_35_39
Real number (ℝ)

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.73913043
Minimum0
Maximum40
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:52.566952image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median8.5
Q318.25
95-th percentile24.5
Maximum40
Range40
Interquartile range (IQR)15.25

Descriptive statistics

Standard deviation9.744365398
Coefficient of variation (CV)0.9073700573
Kurtosis1.341586455
Mean10.73913043
Median Absolute Deviation (MAD)6.5
Skewness1.188586706
Sum494
Variance94.952657
MonotonicityNot monotonic
2023-10-04T17:06:52.751379image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2 6
13.0%
10 4
 
8.7%
3 4
 
8.7%
1 3
 
6.5%
16 3
 
6.5%
6 3
 
6.5%
19 3
 
6.5%
20 3
 
6.5%
0 2
 
4.3%
22 2
 
4.3%
Other values (11) 13
28.3%
ValueCountFrequency (%)
0 2
 
4.3%
1 3
6.5%
2 6
13.0%
3 4
8.7%
4 2
 
4.3%
ValueCountFrequency (%)
40 1
2.2%
39 1
2.2%
25 1
2.2%
23 1
2.2%
22 2
4.3%

qt_mat_40_49
Real number (ℝ)

Distinct24
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.76086957
Minimum0
Maximum39
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:53.155801image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median8
Q316.75
95-th percentile27.5
Maximum39
Range39
Interquartile range (IQR)14.5

Descriptive statistics

Standard deviation9.922331228
Coefficient of variation (CV)0.9220752253
Kurtosis0.2388023485
Mean10.76086957
Median Absolute Deviation (MAD)7
Skewness0.9624629372
Sum495
Variance98.452657
MonotonicityNot monotonic
2023-10-04T17:06:53.362320image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 5
 
10.9%
0 4
 
8.7%
3 4
 
8.7%
8 4
 
8.7%
7 3
 
6.5%
2 3
 
6.5%
11 2
 
4.3%
23 2
 
4.3%
15 2
 
4.3%
26 2
 
4.3%
Other values (14) 15
32.6%
ValueCountFrequency (%)
0 4
8.7%
1 5
10.9%
2 3
6.5%
3 4
8.7%
4 1
 
2.2%
ValueCountFrequency (%)
39 1
2.2%
33 1
2.2%
28 1
2.2%
26 2
4.3%
25 1
2.2%

qt_mat_50_59
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.97826087
Minimum0
Maximum17
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:53.559363image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2.5
Q36
95-th percentile12.25
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.085144526
Coefficient of variation (CV)1.02686693
Kurtosis1.286763947
Mean3.97826087
Median Absolute Deviation (MAD)2.5
Skewness1.23496837
Sum183
Variance16.6884058
MonotonicityNot monotonic
2023-10-04T17:06:53.733297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 10
21.7%
0 9
19.6%
2 4
 
8.7%
4 4
 
8.7%
6 4
 
8.7%
5 4
 
8.7%
7 3
 
6.5%
9 2
 
4.3%
10 2
 
4.3%
13 2
 
4.3%
Other values (2) 2
 
4.3%
ValueCountFrequency (%)
0 9
19.6%
1 10
21.7%
2 4
 
8.7%
3 1
 
2.2%
4 4
 
8.7%
ValueCountFrequency (%)
17 1
 
2.2%
13 2
4.3%
10 2
4.3%
9 2
4.3%
7 3
6.5%

qt_mat_60_mais
Real number (ℝ)

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8260869565
Minimum0
Maximum6
Zeros27
Zeros (%)58.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:53.919561image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3.75
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.321688278
Coefficient of variation (CV)1.599938441
Kurtosis4.826678149
Mean0.8260869565
Median Absolute Deviation (MAD)0
Skewness2.085503675
Sum38
Variance1.746859903
MonotonicityNot monotonic
2023-10-04T17:06:54.066988image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 27
58.7%
1 9
 
19.6%
2 6
 
13.0%
4 2
 
4.3%
6 1
 
2.2%
3 1
 
2.2%
ValueCountFrequency (%)
0 27
58.7%
1 9
 
19.6%
2 6
 
13.0%
3 1
 
2.2%
4 2
 
4.3%
ValueCountFrequency (%)
6 1
 
2.2%
4 2
 
4.3%
3 1
 
2.2%
2 6
13.0%
1 9
19.6%

qt_mat_branca
Real number (ℝ)

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.89130435
Minimum0
Maximum259
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:54.271536image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19.75
Q162.5
median88
Q3135.5
95-th percentile178.25
Maximum259
Range259
Interquartile range (IQR)73

Descriptive statistics

Standard deviation56.39473114
Coefficient of variation (CV)0.5820412009
Kurtosis0.4682859254
Mean96.89130435
Median Absolute Deviation (MAD)40.5
Skewness0.5674979889
Sum4457
Variance3180.3657
MonotonicityNot monotonic
2023-10-04T17:06:54.502521image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
72 2
 
4.3%
125 2
 
4.3%
86 2
 
4.3%
82 2
 
4.3%
136 2
 
4.3%
27 2
 
4.3%
259 1
 
2.2%
95 1
 
2.2%
94 1
 
2.2%
84 1
 
2.2%
Other values (30) 30
65.2%
ValueCountFrequency (%)
0 1
2.2%
2 1
2.2%
18 1
2.2%
25 1
2.2%
27 2
4.3%
ValueCountFrequency (%)
259 1
2.2%
226 1
2.2%
180 1
2.2%
173 1
2.2%
170 1
2.2%

qt_mat_preta
Real number (ℝ)

Distinct34
Distinct (%)73.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.93478261
Minimum0
Maximum110
Zeros1
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:54.722867image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q117.5
median32
Q340.5
95-th percentile68.75
Maximum110
Range110
Interquartile range (IQR)23

Descriptive statistics

Standard deviation21.58950586
Coefficient of variation (CV)0.6555229502
Kurtosis2.343444674
Mean32.93478261
Median Absolute Deviation (MAD)10
Skewness1.125836275
Sum1515
Variance466.1067633
MonotonicityNot monotonic
2023-10-04T17:06:54.952681image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
36 3
 
6.5%
6 2
 
4.3%
7 2
 
4.3%
23 2
 
4.3%
42 2
 
4.3%
32 2
 
4.3%
37 2
 
4.3%
17 2
 
4.3%
28 2
 
4.3%
24 2
 
4.3%
Other values (24) 25
54.3%
ValueCountFrequency (%)
0 1
2.2%
1 1
2.2%
6 2
4.3%
7 2
4.3%
9 1
2.2%
ValueCountFrequency (%)
110 1
2.2%
71 1
2.2%
69 1
2.2%
68 1
2.2%
62 1
2.2%

qt_mat_parda
Real number (ℝ)

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean139.2173913
Minimum1
Maximum355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:55.188462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile25.75
Q1111.5
median143
Q3169
95-th percentile232.5
Maximum355
Range354
Interquartile range (IQR)57.5

Descriptive statistics

Standard deviation67.15716659
Coefficient of variation (CV)0.4823906407
Kurtosis1.547814965
Mean139.2173913
Median Absolute Deviation (MAD)29.5
Skewness0.2611592489
Sum6404
Variance4510.085024
MonotonicityNot monotonic
2023-10-04T17:06:55.433709image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
121 2
 
4.3%
169 2
 
4.3%
132 2
 
4.3%
189 2
 
4.3%
143 2
 
4.3%
164 2
 
4.3%
172 1
 
2.2%
73 1
 
2.2%
113 1
 
2.2%
160 1
 
2.2%
Other values (30) 30
65.2%
ValueCountFrequency (%)
1 1
2.2%
7 1
2.2%
23 1
2.2%
34 1
2.2%
35 1
2.2%
ValueCountFrequency (%)
355 1
2.2%
257 1
2.2%
233 1
2.2%
231 1
2.2%
201 1
2.2%

qt_mat_amarela
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.52173913
Minimum0
Maximum10
Zeros6
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:55.678147image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median3
Q35
95-th percentile8
Maximum10
Range10
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.72224687
Coefficient of variation (CV)0.772983679
Kurtosis-0.1654341403
Mean3.52173913
Median Absolute Deviation (MAD)2
Skewness0.6973084782
Sum162
Variance7.410628019
MonotonicityNot monotonic
2023-10-04T17:06:55.837187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2 8
17.4%
4 8
17.4%
1 6
13.0%
0 6
13.0%
5 5
10.9%
3 4
8.7%
8 4
8.7%
10 2
 
4.3%
6 2
 
4.3%
7 1
 
2.2%
ValueCountFrequency (%)
0 6
13.0%
1 6
13.0%
2 8
17.4%
3 4
8.7%
4 8
17.4%
ValueCountFrequency (%)
10 2
 
4.3%
8 4
8.7%
7 1
 
2.2%
6 2
 
4.3%
5 5
10.9%

qt_mat_indigena
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.97826087
Minimum0
Maximum17
Zeros23
Zeros (%)50.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:55.993714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31.75
95-th percentile10
Maximum17
Range17
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation3.684738076
Coefficient of variation (CV)1.862614851
Kurtosis6.082954543
Mean1.97826087
Median Absolute Deviation (MAD)0.5
Skewness2.472748227
Sum91
Variance13.57729469
MonotonicityNot monotonic
2023-10-04T17:06:56.224308image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 23
50.0%
1 11
23.9%
2 3
 
6.5%
10 3
 
6.5%
3 2
 
4.3%
9 1
 
2.2%
17 1
 
2.2%
4 1
 
2.2%
8 1
 
2.2%
ValueCountFrequency (%)
0 23
50.0%
1 11
23.9%
2 3
 
6.5%
3 2
 
4.3%
4 1
 
2.2%
ValueCountFrequency (%)
17 1
 
2.2%
10 3
6.5%
9 1
 
2.2%
8 1
 
2.2%
4 1
 
2.2%

qt_mat_cornd
Real number (ℝ)

Distinct16
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.97826087
Minimum0
Maximum18
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:56.428771image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q38.75
95-th percentile14.75
Maximum18
Range18
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation4.640350228
Coefficient of variation (CV)0.7762040382
Kurtosis-0.1456781382
Mean5.97826087
Median Absolute Deviation (MAD)3
Skewness0.721754193
Sum275
Variance21.53285024
MonotonicityNot monotonic
2023-10-04T17:06:56.597151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
2 6
13.0%
5 5
10.9%
8 5
10.9%
0 4
8.7%
1 4
8.7%
11 3
 
6.5%
9 3
 
6.5%
3 3
 
6.5%
4 3
 
6.5%
12 2
 
4.3%
Other values (6) 8
17.4%
ValueCountFrequency (%)
0 4
8.7%
1 4
8.7%
2 6
13.0%
3 3
6.5%
4 3
6.5%
ValueCountFrequency (%)
18 1
2.2%
16 1
2.2%
15 1
2.2%
14 1
2.2%
12 2
4.3%

qt_conc
Real number (ℝ)

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.586956522
Minimum0
Maximum40
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:56.804864image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median9
Q313.75
95-th percentile27.25
Maximum40
Range40
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation9.134978166
Coefficient of variation (CV)0.9528548654
Kurtosis1.804340325
Mean9.586956522
Median Absolute Deviation (MAD)7
Skewness1.237950355
Sum441
Variance83.44782609
MonotonicityNot monotonic
2023-10-04T17:06:57.057518image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9
19.6%
9 7
15.2%
13 4
 
8.7%
4 3
 
6.5%
1 3
 
6.5%
16 3
 
6.5%
8 2
 
4.3%
7 2
 
4.3%
14 1
 
2.2%
17 1
 
2.2%
Other values (11) 11
23.9%
ValueCountFrequency (%)
0 9
19.6%
1 3
 
6.5%
2 1
 
2.2%
3 1
 
2.2%
4 3
 
6.5%
ValueCountFrequency (%)
40 1
2.2%
31 1
2.2%
29 1
2.2%
22 1
2.2%
21 1
2.2%

qt_conc_fem
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.282608696
Minimum0
Maximum26
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:57.271669image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3
Q37.75
95-th percentile19
Maximum26
Range26
Interquartile range (IQR)7.5

Descriptive statistics

Standard deviation6.032000013
Coefficient of variation (CV)1.141860085
Kurtosis2.961268076
Mean5.282608696
Median Absolute Deviation (MAD)3
Skewness1.689201635
Sum243
Variance36.38502415
MonotonicityNot monotonic
2023-10-04T17:06:57.459134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 12
26.1%
3 5
10.9%
2 5
10.9%
7 3
 
6.5%
6 3
 
6.5%
8 3
 
6.5%
4 2
 
4.3%
1 2
 
4.3%
9 2
 
4.3%
5 2
 
4.3%
Other values (7) 7
15.2%
ValueCountFrequency (%)
0 12
26.1%
1 2
 
4.3%
2 5
10.9%
3 5
10.9%
4 2
 
4.3%
ValueCountFrequency (%)
26 1
2.2%
21 1
2.2%
20 1
2.2%
16 1
2.2%
13 1
2.2%

qt_conc_masc
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.304347826
Minimum0
Maximum20
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:57.638134image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median4
Q36
95-th percentile11
Maximum20
Range20
Interquartile range (IQR)5.75

Descriptive statistics

Standard deviation4.299196644
Coefficient of variation (CV)0.9988032608
Kurtosis2.801892531
Mean4.304347826
Median Absolute Deviation (MAD)3
Skewness1.378017718
Sum198
Variance18.48309179
MonotonicityNot monotonic
2023-10-04T17:06:57.838775image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 12
26.1%
5 6
13.0%
6 6
13.0%
1 5
10.9%
7 3
 
6.5%
11 3
 
6.5%
4 3
 
6.5%
3 3
 
6.5%
8 2
 
4.3%
2 1
 
2.2%
Other values (2) 2
 
4.3%
ValueCountFrequency (%)
0 12
26.1%
1 5
10.9%
2 1
 
2.2%
3 3
 
6.5%
4 3
 
6.5%
ValueCountFrequency (%)
20 1
 
2.2%
14 1
 
2.2%
11 3
6.5%
8 2
4.3%
7 3
6.5%

qt_conc_diurno
Real number (ℝ)

Distinct18
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.108695652
Minimum0
Maximum31
Zeros18
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:58.055511image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3.5
Q39
95-th percentile20
Maximum31
Range31
Interquartile range (IQR)9

Descriptive statistics

Standard deviation7.498824385
Coefficient of variation (CV)1.227565558
Kurtosis1.456628662
Mean6.108695652
Median Absolute Deviation (MAD)3.5
Skewness1.329654045
Sum281
Variance56.23236715
MonotonicityNot monotonic
2023-10-04T17:06:58.226714image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 18
39.1%
9 4
 
8.7%
8 3
 
6.5%
1 3
 
6.5%
7 2
 
4.3%
20 2
 
4.3%
4 2
 
4.3%
16 2
 
4.3%
5 1
 
2.2%
18 1
 
2.2%
Other values (8) 8
17.4%
ValueCountFrequency (%)
0 18
39.1%
1 3
 
6.5%
2 1
 
2.2%
3 1
 
2.2%
4 2
 
4.3%
ValueCountFrequency (%)
31 1
2.2%
21 1
2.2%
20 2
4.3%
18 1
2.2%
16 2
4.3%

qt_conc_noturno
Real number (ℝ)

Distinct11
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.47826087
Minimum0
Maximum29
Zeros31
Zeros (%)67.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:58.409468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q36.5
95-th percentile13
Maximum29
Range29
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation6.309566389
Coefficient of variation (CV)1.814000337
Kurtosis5.369223473
Mean3.47826087
Median Absolute Deviation (MAD)0
Skewness2.186699351
Sum160
Variance39.81062802
MonotonicityNot monotonic
2023-10-04T17:06:58.579193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 31
67.4%
9 4
 
8.7%
13 3
 
6.5%
7 1
 
2.2%
1 1
 
2.2%
20 1
 
2.2%
5 1
 
2.2%
8 1
 
2.2%
11 1
 
2.2%
29 1
 
2.2%
ValueCountFrequency (%)
0 31
67.4%
1 1
 
2.2%
4 1
 
2.2%
5 1
 
2.2%
7 1
 
2.2%
ValueCountFrequency (%)
29 1
 
2.2%
20 1
 
2.2%
13 3
6.5%
11 1
 
2.2%
9 4
8.7%

qt_conc_0_17
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:58.755497image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:06:58.888350image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_18_24
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.239130435
Minimum0
Maximum16
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:59.056275image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median3
Q37
95-th percentile13.75
Maximum16
Range16
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation4.372564885
Coefficient of variation (CV)1.031476845
Kurtosis0.9833055782
Mean4.239130435
Median Absolute Deviation (MAD)3
Skewness1.191941719
Sum195
Variance19.11932367
MonotonicityNot monotonic
2023-10-04T17:06:59.238902image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 12
26.1%
3 8
17.4%
1 4
 
8.7%
5 4
 
8.7%
7 3
 
6.5%
4 3
 
6.5%
9 3
 
6.5%
2 2
 
4.3%
8 2
 
4.3%
16 2
 
4.3%
Other values (2) 3
 
6.5%
ValueCountFrequency (%)
0 12
26.1%
1 4
 
8.7%
2 2
 
4.3%
3 8
17.4%
4 3
 
6.5%
ValueCountFrequency (%)
16 2
4.3%
15 1
 
2.2%
10 2
4.3%
9 3
6.5%
8 2
4.3%

qt_conc_25_29
Real number (ℝ)

Distinct11
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.586956522
Minimum0
Maximum17
Zeros13
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:06:59.453861image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q35
95-th percentile10
Maximum17
Range17
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.642807751
Coefficient of variation (CV)1.015570646
Kurtosis3.103640898
Mean3.586956522
Median Absolute Deviation (MAD)3
Skewness1.475534164
Sum165
Variance13.27004831
MonotonicityNot monotonic
2023-10-04T17:06:59.640025image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 13
28.3%
3 8
17.4%
4 7
15.2%
6 5
 
10.9%
1 4
 
8.7%
5 3
 
6.5%
10 2
 
4.3%
12 1
 
2.2%
7 1
 
2.2%
17 1
 
2.2%
ValueCountFrequency (%)
0 13
28.3%
1 4
 
8.7%
3 8
17.4%
4 7
15.2%
5 3
 
6.5%
ValueCountFrequency (%)
17 1
2.2%
12 1
2.2%
10 2
4.3%
8 1
2.2%
7 1
2.2%

qt_conc_30_34
Real number (ℝ)

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7826086957
Minimum0
Maximum7
Zeros24
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:00.019123image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile2.75
Maximum7
Range7
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.280851166
Coefficient of variation (CV)1.636643157
Kurtosis12.27371105
Mean0.7826086957
Median Absolute Deviation (MAD)0
Skewness3.080413259
Sum36
Variance1.64057971
MonotonicityNot monotonic
2023-10-04T17:07:00.170180image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 24
52.2%
1 16
34.8%
2 3
 
6.5%
7 1
 
2.2%
4 1
 
2.2%
3 1
 
2.2%
ValueCountFrequency (%)
0 24
52.2%
1 16
34.8%
2 3
 
6.5%
3 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
7 1
 
2.2%
4 1
 
2.2%
3 1
 
2.2%
2 3
 
6.5%
1 16
34.8%

qt_conc_35_39
Real number (ℝ)

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4130434783
Minimum0
Maximum6
Zeros37
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:00.337703image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.1269642
Coefficient of variation (CV)2.728439643
Kurtosis14.95966955
Mean0.4130434783
Median Absolute Deviation (MAD)0
Skewness3.683599373
Sum19
Variance1.270048309
MonotonicityNot monotonic
2023-10-04T17:07:00.488744image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=5)
ValueCountFrequency (%)
0 37
80.4%
1 5
 
10.9%
2 2
 
4.3%
6 1
 
2.2%
4 1
 
2.2%
ValueCountFrequency (%)
0 37
80.4%
1 5
 
10.9%
2 2
 
4.3%
4 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
6 1
 
2.2%
4 1
 
2.2%
2 2
 
4.3%
1 5
 
10.9%
0 37
80.4%

qt_conc_40_49
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3913043478
Minimum0
Maximum3
Zeros36
Zeros (%)78.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:00.654263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum3
Range3
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.8294110593
Coefficient of variation (CV)2.11960604
Kurtosis3.271450076
Mean0.3913043478
Median Absolute Deviation (MAD)0
Skewness2.072676876
Sum18
Variance0.6879227053
MonotonicityNot monotonic
2023-10-04T17:07:00.807021image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 36
78.3%
2 4
 
8.7%
1 4
 
8.7%
3 2
 
4.3%
ValueCountFrequency (%)
0 36
78.3%
1 4
 
8.7%
2 4
 
8.7%
3 2
 
4.3%
ValueCountFrequency (%)
3 2
 
4.3%
2 4
 
8.7%
1 4
 
8.7%
0 36
78.3%

qt_conc_50_59
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.152173913
Minimum0
Maximum1
Zeros39
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:00.986520image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631584475
Coefficient of variation (CV)2.386469798
Kurtosis2.09999303
Mean0.152173913
Median Absolute Deviation (MAD)0
Skewness2.002631998
Sum7
Variance0.131884058
MonotonicityNot monotonic
2023-10-04T17:07:01.139119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 39
84.8%
1 7
 
15.2%
ValueCountFrequency (%)
0 39
84.8%
1 7
 
15.2%
ValueCountFrequency (%)
1 7
 
15.2%
0 39
84.8%

qt_conc_60_mais
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:01.305810image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-10-04T17:07:01.473936image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%

qt_conc_branca
Real number (ℝ)

Distinct12
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.152173913
Minimum0
Maximum16
Zeros13
Zeros (%)28.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:01.638358image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile8.75
Maximum16
Range16
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.729565904
Coefficient of variation (CV)1.183172632
Kurtosis3.517379116
Mean3.152173913
Median Absolute Deviation (MAD)2
Skewness1.7479371
Sum145
Variance13.90966184
MonotonicityNot monotonic
2023-10-04T17:07:01.809526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 13
28.3%
1 8
17.4%
2 6
13.0%
6 5
 
10.9%
4 4
 
8.7%
3 2
 
4.3%
8 2
 
4.3%
5 2
 
4.3%
9 1
 
2.2%
16 1
 
2.2%
Other values (2) 2
 
4.3%
ValueCountFrequency (%)
0 13
28.3%
1 8
17.4%
2 6
13.0%
3 2
 
4.3%
4 4
 
8.7%
ValueCountFrequency (%)
16 1
2.2%
15 1
2.2%
9 1
2.2%
8 2
4.3%
7 1
2.2%

qt_conc_preta
Real number (ℝ)

Distinct6
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.173913043
Minimum0
Maximum9
Zeros18
Zeros (%)39.1%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:01.992766image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3.75
Maximum9
Range9
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.595888437
Coefficient of variation (CV)1.35946052
Kurtosis12.20963877
Mean1.173913043
Median Absolute Deviation (MAD)1
Skewness2.926327629
Sum54
Variance2.546859903
MonotonicityNot monotonic
2023-10-04T17:07:02.140539image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 18
39.1%
1 15
32.6%
2 8
17.4%
4 2
 
4.3%
3 2
 
4.3%
9 1
 
2.2%
ValueCountFrequency (%)
0 18
39.1%
1 15
32.6%
2 8
17.4%
3 2
 
4.3%
4 2
 
4.3%
ValueCountFrequency (%)
9 1
 
2.2%
4 2
 
4.3%
3 2
 
4.3%
2 8
17.4%
1 15
32.6%

qt_conc_parda
Real number (ℝ)

Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5
Minimum0
Maximum20
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:02.322338image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q38
95-th percentile14
Maximum20
Range20
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.844240567
Coefficient of variation (CV)0.9688481133
Kurtosis0.738376154
Mean5
Median Absolute Deviation (MAD)4
Skewness1.023889904
Sum230
Variance23.46666667
MonotonicityNot monotonic
2023-10-04T17:07:02.506125image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 11
23.9%
6 5
10.9%
1 4
 
8.7%
9 4
 
8.7%
3 4
 
8.7%
5 4
 
8.7%
14 3
 
6.5%
4 3
 
6.5%
2 2
 
4.3%
8 2
 
4.3%
Other values (4) 4
 
8.7%
ValueCountFrequency (%)
0 11
23.9%
1 4
 
8.7%
2 2
 
4.3%
3 4
 
8.7%
4 3
 
6.5%
ValueCountFrequency (%)
20 1
 
2.2%
14 3
6.5%
13 1
 
2.2%
11 1
 
2.2%
10 1
 
2.2%

qt_conc_amarela
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.152173913
Minimum0
Maximum1
Zeros39
Zeros (%)84.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:02.750010image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3631584475
Coefficient of variation (CV)2.386469798
Kurtosis2.09999303
Mean0.152173913
Median Absolute Deviation (MAD)0
Skewness2.002631998
Sum7
Variance0.131884058
MonotonicityNot monotonic
2023-10-04T17:07:02.899527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 39
84.8%
1 7
 
15.2%
ValueCountFrequency (%)
0 39
84.8%
1 7
 
15.2%
ValueCountFrequency (%)
1 7
 
15.2%
0 39
84.8%

qt_conc_indigena
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0652173913
Minimum0
Maximum1
Zeros43
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:03.070607image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.75
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2496374182
Coefficient of variation (CV)3.827773746
Kurtosis11.77196519
Mean0.0652173913
Median Absolute Deviation (MAD)0
Skewness3.641645213
Sum3
Variance0.06231884058
MonotonicityNot monotonic
2023-10-04T17:07:03.235151image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 43
93.5%
1 3
 
6.5%
ValueCountFrequency (%)
0 43
93.5%
1 3
 
6.5%
ValueCountFrequency (%)
1 3
 
6.5%
0 43
93.5%

qt_conc_cornd
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:03.390372image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-10-04T17:07:03.551857image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

qt_ing_nacbras
Real number (ℝ)

Distinct36
Distinct (%)78.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.13043478
Minimum0
Maximum155
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:03.771799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile25.5
Q160
median74.5
Q387.25
95-th percentile121.25
Maximum155
Range155
Interquartile range (IQR)27.25

Descriptive statistics

Standard deviation31.27839773
Coefficient of variation (CV)0.416321266
Kurtosis0.7342868434
Mean75.13043478
Median Absolute Deviation (MAD)14.5
Skewness-0.03474377963
Sum3456
Variance978.3381643
MonotonicityNot monotonic
2023-10-04T17:07:04.007227image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
60 4
 
8.7%
114 2
 
4.3%
74 2
 
4.3%
75 2
 
4.3%
0 2
 
4.3%
85 2
 
4.3%
76 2
 
4.3%
119 2
 
4.3%
22 1
 
2.2%
70 1
 
2.2%
Other values (26) 26
56.5%
ValueCountFrequency (%)
0 2
4.3%
22 1
2.2%
36 1
2.2%
37 1
2.2%
42 1
2.2%
ValueCountFrequency (%)
155 1
2.2%
130 1
2.2%
122 1
2.2%
119 2
4.3%
114 2
4.3%

qt_ing_nacestrang
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:04.206389image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:04.338527image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_nacbras
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.4347826
Minimum1
Maximum709
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:04.540481image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.5
Q1217
median285
Q3371
95-th percentile471.5
Maximum709
Range708
Interquartile range (IQR)154

Descriptive statistics

Standard deviation141.6109933
Coefficient of variation (CV)0.5049694336
Kurtosis1.127116559
Mean280.4347826
Median Absolute Deviation (MAD)70.5
Skewness0.3830038605
Sum12900
Variance20053.67343
MonotonicityNot monotonic
2023-10-04T17:07:04.786229image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
304 2
 
4.3%
303 2
 
4.3%
215 2
 
4.3%
123 1
 
2.2%
599 1
 
2.2%
244 1
 
2.2%
258 1
 
2.2%
238 1
 
2.2%
378 1
 
2.2%
394 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
1 1
2.2%
10 1
2.2%
50 1
2.2%
72 1
2.2%
86 1
2.2%
ValueCountFrequency (%)
709 1
2.2%
599 1
2.2%
482 1
2.2%
440 1
2.2%
436 1
2.2%

qt_mat_nacestrang
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08695652174
Minimum0
Maximum1
Zeros42
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:04.993044image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2848849246
Coefficient of variation (CV)3.276176633
Kurtosis7.515289943
Mean0.08695652174
Median Absolute Deviation (MAD)0
Skewness3.03152708
Sum4
Variance0.08115942029
MonotonicityNot monotonic
2023-10-04T17:07:05.158035image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 42
91.3%
1 4
 
8.7%
ValueCountFrequency (%)
0 42
91.3%
1 4
 
8.7%
ValueCountFrequency (%)
1 4
 
8.7%
0 42
91.3%

qt_conc_nacbras
Real number (ℝ)

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.586956522
Minimum0
Maximum40
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:05.334916image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.25
median9
Q313.75
95-th percentile27.25
Maximum40
Range40
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation9.134978166
Coefficient of variation (CV)0.9528548654
Kurtosis1.804340325
Mean9.586956522
Median Absolute Deviation (MAD)7
Skewness1.237950355
Sum441
Variance83.44782609
MonotonicityNot monotonic
2023-10-04T17:07:05.540266image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 9
19.6%
9 7
15.2%
13 4
 
8.7%
4 3
 
6.5%
1 3
 
6.5%
16 3
 
6.5%
8 2
 
4.3%
7 2
 
4.3%
14 1
 
2.2%
17 1
 
2.2%
Other values (11) 11
23.9%
ValueCountFrequency (%)
0 9
19.6%
1 3
 
6.5%
2 1
 
2.2%
3 1
 
2.2%
4 3
 
6.5%
ValueCountFrequency (%)
40 1
2.2%
31 1
2.2%
29 1
2.2%
22 1
2.2%
21 1
2.2%

qt_conc_nacestrang
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:05.740440image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:05.888209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_aluno_deficiente
Real number (ℝ)

Distinct16
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.195652174
Minimum0
Maximum22
Zeros8
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:06.055018image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q37
95-th percentile14
Maximum22
Range22
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.009411432
Coefficient of variation (CV)0.9641545016
Kurtosis1.564451774
Mean5.195652174
Median Absolute Deviation (MAD)3
Skewness1.247458452
Sum239
Variance25.0942029
MonotonicityNot monotonic
2023-10-04T17:07:06.239416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 8
17.4%
2 5
10.9%
1 5
10.9%
4 5
10.9%
7 4
8.7%
6 3
 
6.5%
5 3
 
6.5%
8 2
 
4.3%
14 2
 
4.3%
13 2
 
4.3%
Other values (6) 7
15.2%
ValueCountFrequency (%)
0 8
17.4%
1 5
10.9%
2 5
10.9%
3 2
 
4.3%
4 5
10.9%
ValueCountFrequency (%)
22 1
2.2%
15 1
2.2%
14 2
4.3%
13 2
4.3%
11 1
2.2%

qt_ing_deficiente
Real number (ℝ)

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8913043478
Minimum0
Maximum3
Zeros22
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:06.401462image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.016054698
Coefficient of variation (CV)1.139963808
Kurtosis-0.6716560421
Mean0.8913043478
Median Absolute Deviation (MAD)1
Skewness0.7576494144
Sum41
Variance1.03236715
MonotonicityNot monotonic
2023-10-04T17:07:06.554767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
0 22
47.8%
1 11
23.9%
2 9
19.6%
3 4
 
8.7%
ValueCountFrequency (%)
0 22
47.8%
1 11
23.9%
2 9
19.6%
3 4
 
8.7%
ValueCountFrequency (%)
3 4
 
8.7%
2 9
19.6%
1 11
23.9%
0 22
47.8%

qt_mat_deficiente
Real number (ℝ)

Distinct13
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.282608696
Minimum0
Maximum19
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:06.741329image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q35.75
95-th percentile12.75
Maximum19
Range19
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation4.390206492
Coefficient of variation (CV)1.025124359
Kurtosis1.673130193
Mean4.282608696
Median Absolute Deviation (MAD)3
Skewness1.316961612
Sum197
Variance19.27391304
MonotonicityNot monotonic
2023-10-04T17:07:06.902745image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 10
21.7%
1 6
13.0%
5 6
13.0%
4 6
13.0%
2 5
10.9%
7 3
 
6.5%
13 2
 
4.3%
9 2
 
4.3%
11 2
 
4.3%
12 1
 
2.2%
Other values (3) 3
 
6.5%
ValueCountFrequency (%)
0 10
21.7%
1 6
13.0%
2 5
10.9%
3 1
 
2.2%
4 6
13.0%
ValueCountFrequency (%)
19 1
2.2%
13 2
4.3%
12 1
2.2%
11 2
4.3%
9 2
4.3%

qt_conc_deficiente
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:07.098531image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-10-04T17:07:07.259288image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%

qt_ing_financ
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:07.421790image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:07.562376image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_financ_reemb
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:07.731853image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:08.055793image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_fies
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:08.211385image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:08.357974image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_rpfies
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:08.510209image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:08.644143image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_financ_reemb_outros
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:08.808130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:08.959458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_financ_nreemb
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:09.121300image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:09.271053image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_prounii
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:09.423642image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:09.572299image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_prounip
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:09.730281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:09.877732image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_nrpfies
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:10.022480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:10.171859image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_financ_nreemb_outros
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:10.321503image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:10.469967image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_financ
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:10.633750image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:10.771838image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_financ_reemb
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:10.927431image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:11.071893image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_fies
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:11.239997image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:11.386400image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_rpfies
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:11.551451image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:11.693187image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_financ_reemb_outros
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:11.854604image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:11.995366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_financ_nreemb
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:12.153415image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:12.300402image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_prounii
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:12.438716image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:12.588132image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_prounip
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:12.740324image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:12.885746image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_nrpfies
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:13.048348image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:13.188664image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_financ_nreemb_outros
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:13.342799image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:13.490228image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_financ
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:13.652243image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:13.789417image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_financ_reemb
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:13.955696image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:14.103558image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_fies
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:14.281236image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:14.435089image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_rpfies
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:14.601253image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:14.745249image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_financ_reemb_outros
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:14.915274image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:15.072012image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_financ_nreemb
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:15.295638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:15.502508image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_prounii
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:15.692645image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:15.894090image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_prounip
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:16.075796image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:16.227242image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_nrpfies
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:16.401996image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:16.584540image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_financ_nreemb_outros
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:16.752112image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:16.915460image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_reserva_vaga
Real number (ℝ)

Distinct19
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.19565217
Minimum0
Maximum95
Zeros5
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:17.122862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38
95-th percentile85.25
Maximum95
Range95
Interquartile range (IQR)6

Descriptive statistics

Standard deviation26.85733466
Coefficient of variation (CV)1.658305227
Kurtosis2.837933464
Mean16.19565217
Median Absolute Deviation (MAD)3
Skewness2.026039166
Sum745
Variance721.3164251
MonotonicityNot monotonic
2023-10-04T17:07:17.315460image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 7
15.2%
3 7
15.2%
8 6
13.0%
0 5
10.9%
7 3
 
6.5%
4 3
 
6.5%
6 2
 
4.3%
1 2
 
4.3%
11 1
 
2.2%
63 1
 
2.2%
Other values (9) 9
19.6%
ValueCountFrequency (%)
0 5
10.9%
1 2
 
4.3%
2 7
15.2%
3 7
15.2%
4 3
6.5%
ValueCountFrequency (%)
95 1
2.2%
91 1
2.2%
86 1
2.2%
83 1
2.2%
63 1
2.2%

qt_ing_rvredepublica
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.956521739
Minimum0
Maximum52
Zeros9
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:17.559922image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35.75
95-th percentile46.5
Maximum52
Range52
Interquartile range (IQR)4.75

Descriptive statistics

Standard deviation14.58912307
Coefficient of variation (CV)1.628882673
Kurtosis2.78170244
Mean8.956521739
Median Absolute Deviation (MAD)2
Skewness2.015946063
Sum412
Variance212.8425121
MonotonicityNot monotonic
2023-10-04T17:07:17.720500image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 9
19.6%
2 8
17.4%
3 5
10.9%
5 5
10.9%
1 4
8.7%
4 3
 
6.5%
6 2
 
4.3%
7 1
 
2.2%
37 1
 
2.2%
19 1
 
2.2%
Other values (7) 7
15.2%
ValueCountFrequency (%)
0 9
19.6%
1 4
8.7%
2 8
17.4%
3 5
10.9%
4 3
 
6.5%
ValueCountFrequency (%)
52 1
2.2%
48 1
2.2%
47 1
2.2%
45 1
2.2%
37 1
2.2%

qt_ing_rvetnico
Real number (ℝ)

Distinct16
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.913043478
Minimum0
Maximum31
Zeros11
Zeros (%)23.9%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:17.921734image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34.75
95-th percentile27.75
Maximum31
Range31
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation8.879004166
Coefficient of variation (CV)1.501596293
Kurtosis2.184305065
Mean5.913043478
Median Absolute Deviation (MAD)2
Skewness1.847307527
Sum272
Variance78.83671498
MonotonicityNot monotonic
2023-10-04T17:07:18.126928image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 11
23.9%
1 7
15.2%
2 7
15.2%
4 6
13.0%
3 3
 
6.5%
5 2
 
4.3%
20 1
 
2.2%
14 1
 
2.2%
11 1
 
2.2%
18 1
 
2.2%
Other values (6) 6
13.0%
ValueCountFrequency (%)
0 11
23.9%
1 7
15.2%
2 7
15.2%
3 3
 
6.5%
4 6
13.0%
ValueCountFrequency (%)
31 1
2.2%
30 1
2.2%
28 1
2.2%
27 1
2.2%
22 1
2.2%

qt_ing_rvpdef
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:18.340501image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:18.498972image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_rvsocial_rf
Real number (ℝ)

Distinct14
Distinct (%)30.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.630434783
Minimum0
Maximum24
Zeros15
Zeros (%)32.6%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:18.673164image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile22.5
Maximum24
Range24
Interquartile range (IQR)4

Descriptive statistics

Standard deviation7.128530145
Coefficient of variation (CV)1.539494773
Kurtosis2.060150288
Mean4.630434783
Median Absolute Deviation (MAD)2
Skewness1.834032392
Sum213
Variance50.81594203
MonotonicityNot monotonic
2023-10-04T17:07:19.051119image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
0 15
32.6%
2 7
15.2%
1 6
 
13.0%
3 4
 
8.7%
4 3
 
6.5%
23 2
 
4.3%
5 2
 
4.3%
17 1
 
2.2%
9 1
 
2.2%
8 1
 
2.2%
Other values (4) 4
 
8.7%
ValueCountFrequency (%)
0 15
32.6%
1 6
 
13.0%
2 7
15.2%
3 4
 
8.7%
4 3
 
6.5%
ValueCountFrequency (%)
24 1
2.2%
23 2
4.3%
21 1
2.2%
20 1
2.2%
17 1
2.2%

qt_ing_rvoutros
Real number (ℝ)

Distinct15
Distinct (%)32.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.456521739
Minimum0
Maximum48
Zeros12
Zeros (%)26.1%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:19.258595image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10.25
median2
Q35.75
95-th percentile38
Maximum48
Range48
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation12.36249979
Coefficient of variation (CV)1.657944578
Kurtosis3.108697737
Mean7.456521739
Median Absolute Deviation (MAD)2
Skewness2.033676339
Sum343
Variance152.831401
MonotonicityNot monotonic
2023-10-04T17:07:19.486459image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 12
26.1%
2 8
17.4%
3 6
13.0%
1 5
10.9%
26 2
 
4.3%
38 2
 
4.3%
6 2
 
4.3%
4 2
 
4.3%
24 1
 
2.2%
13 1
 
2.2%
Other values (5) 5
10.9%
ValueCountFrequency (%)
0 12
26.1%
1 5
10.9%
2 8
17.4%
3 6
13.0%
4 2
 
4.3%
ValueCountFrequency (%)
48 1
2.2%
39 1
2.2%
38 2
4.3%
26 2
4.3%
24 1
2.2%

qt_mat_reserva_vaga
Real number (ℝ)

Distinct26
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.84782609
Minimum0
Maximum143
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:19.709708image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.5
Q15.25
median8.5
Q317.75
95-th percentile121.25
Maximum143
Range143
Interquartile range (IQR)12.5

Descriptive statistics

Standard deviation36.92332439
Coefficient of variation (CV)1.548288899
Kurtosis3.99902655
Mean23.84782609
Median Absolute Deviation (MAD)5.5
Skewness2.263861597
Sum1097
Variance1363.331884
MonotonicityNot monotonic
2023-10-04T17:07:19.938678image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
3 5
 
10.9%
7 5
 
10.9%
10 4
 
8.7%
6 3
 
6.5%
8 3
 
6.5%
0 2
 
4.3%
4 2
 
4.3%
13 2
 
4.3%
15 2
 
4.3%
5 2
 
4.3%
Other values (16) 16
34.8%
ValueCountFrequency (%)
0 2
 
4.3%
1 1
 
2.2%
3 5
10.9%
4 2
 
4.3%
5 2
 
4.3%
ValueCountFrequency (%)
143 1
2.2%
128 1
2.2%
123 1
2.2%
116 1
2.2%
100 1
2.2%

qt_mat_rvredepublica
Real number (ℝ)

Distinct21
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.15217391
Minimum0
Maximum103
Zeros3
Zeros (%)6.5%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:20.165535image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q13
median5
Q310.75
95-th percentile77.75
Maximum103
Range103
Interquartile range (IQR)7.75

Descriptive statistics

Standard deviation25.13869739
Coefficient of variation (CV)1.659081894
Kurtosis4.731240098
Mean15.15217391
Median Absolute Deviation (MAD)3
Skewness2.407785005
Sum697
Variance631.9541063
MonotonicityNot monotonic
2023-10-04T17:07:20.388611image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
5 6
13.0%
3 6
13.0%
4 5
10.9%
2 5
10.9%
9 3
 
6.5%
0 3
 
6.5%
14 2
 
4.3%
10 2
 
4.3%
6 2
 
4.3%
1 1
 
2.2%
Other values (11) 11
23.9%
ValueCountFrequency (%)
0 3
6.5%
1 1
 
2.2%
2 5
10.9%
3 6
13.0%
4 5
10.9%
ValueCountFrequency (%)
103 1
2.2%
85 1
2.2%
78 1
2.2%
77 1
2.2%
72 1
2.2%

qt_mat_rvetnico
Real number (ℝ)

Distinct19
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.760869565
Minimum0
Maximum63
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:20.621938image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4
Q38.75
95-th percentile45.75
Maximum63
Range63
Interquartile range (IQR)6.75

Descriptive statistics

Standard deviation14.78164745
Coefficient of variation (CV)1.514378136
Kurtosis4.705672946
Mean9.760869565
Median Absolute Deviation (MAD)2.5
Skewness2.351491465
Sum449
Variance218.4971014
MonotonicityNot monotonic
2023-10-04T17:07:20.823684image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2 10
21.7%
4 5
10.9%
3 5
10.9%
0 4
 
8.7%
7 3
 
6.5%
9 2
 
4.3%
6 2
 
4.3%
45 2
 
4.3%
1 2
 
4.3%
8 2
 
4.3%
Other values (9) 9
19.6%
ValueCountFrequency (%)
0 4
 
8.7%
1 2
 
4.3%
2 10
21.7%
3 5
10.9%
4 5
10.9%
ValueCountFrequency (%)
63 1
2.2%
47 1
2.2%
46 1
2.2%
45 2
4.3%
20 1
2.2%

qt_mat_rvpdef
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:21.016627image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:21.206114image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_rvsocial_rf
Real number (ℝ)

Distinct17
Distinct (%)37.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.195652174
Minimum0
Maximum48
Zeros6
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:21.347240image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median3
Q38.5
95-th percentile43
Maximum48
Range48
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation12.94023796
Coefficient of variation (CV)1.578914977
Kurtosis4.014201009
Mean8.195652174
Median Absolute Deviation (MAD)2
Skewness2.281115403
Sum377
Variance167.4497585
MonotonicityNot monotonic
2023-10-04T17:07:21.576416image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
2 9
19.6%
0 6
13.0%
1 5
10.9%
3 5
10.9%
9 4
8.7%
4 3
 
6.5%
5 3
 
6.5%
6 2
 
4.3%
17 1
 
2.2%
40 1
 
2.2%
Other values (7) 7
15.2%
ValueCountFrequency (%)
0 6
13.0%
1 5
10.9%
2 9
19.6%
3 5
10.9%
4 3
 
6.5%
ValueCountFrequency (%)
48 1
2.2%
45 1
2.2%
44 1
2.2%
40 1
2.2%
39 1
2.2%

qt_mat_rvoutros
Real number (ℝ)

Distinct20
Distinct (%)43.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.304347826
Minimum0
Maximum51
Zeros5
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:21.813911image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q39
95-th percentile38.75
Maximum51
Range51
Interquartile range (IQR)7

Descriptive statistics

Standard deviation12.17806692
Coefficient of variation (CV)1.30885766
Kurtosis3.352533954
Mean9.304347826
Median Absolute Deviation (MAD)3.5
Skewness1.993620295
Sum428
Variance148.305314
MonotonicityNot monotonic
2023-10-04T17:07:22.251735image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
1 5
10.9%
3 5
10.9%
0 5
10.9%
2 4
 
8.7%
5 4
 
8.7%
7 4
 
8.7%
6 3
 
6.5%
12 2
 
4.3%
9 2
 
4.3%
4 2
 
4.3%
Other values (10) 10
21.7%
ValueCountFrequency (%)
0 5
10.9%
1 5
10.9%
2 4
8.7%
3 5
10.9%
4 2
 
4.3%
ValueCountFrequency (%)
51 1
2.2%
40 1
2.2%
39 1
2.2%
38 1
2.2%
28 1
2.2%

qt_conc_reserva_vaga
Real number (ℝ)

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08695652174
Minimum0
Maximum2
Zeros43
Zeros (%)93.5%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:22.589641image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.75
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3544063554
Coefficient of variation (CV)4.075673087
Kurtosis20.58864981
Mean0.08695652174
Median Absolute Deviation (MAD)0
Skewness4.433692137
Sum4
Variance0.1256038647
MonotonicityNot monotonic
2023-10-04T17:07:22.855537image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 43
93.5%
1 2
 
4.3%
2 1
 
2.2%
ValueCountFrequency (%)
0 43
93.5%
1 2
 
4.3%
2 1
 
2.2%
ValueCountFrequency (%)
2 1
 
2.2%
1 2
 
4.3%
0 43
93.5%

qt_conc_rvredepublica
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:23.123526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-10-04T17:07:23.381485image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

qt_conc_rvetnico
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:23.650761image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-10-04T17:07:23.837480image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

qt_conc_rvpdef
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:24.019559image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:24.179108image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_rvsocial_rf
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:24.379970image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-10-04T17:07:24.590903image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%

qt_conc_rvoutros
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:24.805366image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-10-04T17:07:25.009872image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

qt_sit_trancada
Real number (ℝ)

Distinct18
Distinct (%)39.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.956521739
Minimum0
Maximum19
Zeros8
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:25.220550image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median4.5
Q39
95-th percentile16.75
Maximum19
Range19
Interquartile range (IQR)7

Descriptive statistics

Standard deviation5.436324419
Coefficient of variation (CV)0.9126676032
Kurtosis-0.0527022614
Mean5.956521739
Median Absolute Deviation (MAD)3.5
Skewness0.8646478899
Sum274
Variance29.55362319
MonotonicityNot monotonic
2023-10-04T17:07:25.455059image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 8
17.4%
2 6
13.0%
9 4
8.7%
6 4
8.7%
1 3
 
6.5%
4 3
 
6.5%
8 3
 
6.5%
3 3
 
6.5%
10 2
 
4.3%
19 2
 
4.3%
Other values (8) 8
17.4%
ValueCountFrequency (%)
0 8
17.4%
1 3
 
6.5%
2 6
13.0%
3 3
 
6.5%
4 3
 
6.5%
ValueCountFrequency (%)
19 2
4.3%
17 1
2.2%
16 1
2.2%
15 1
2.2%
13 1
2.2%

qt_sit_desvinculado
Real number (ℝ)

Distinct40
Distinct (%)87.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53.56521739
Minimum0
Maximum111
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:25.739233image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q136.75
median54
Q372
95-th percentile92.75
Maximum111
Range111
Interquartile range (IQR)35.25

Descriptive statistics

Standard deviation27.87563825
Coefficient of variation (CV)0.5204055842
Kurtosis-0.4270872903
Mean53.56521739
Median Absolute Deviation (MAD)18.5
Skewness-0.1584187536
Sum2464
Variance777.0512077
MonotonicityNot monotonic
2023-10-04T17:07:25.998865image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
67 2
 
4.3%
0 2
 
4.3%
69 2
 
4.3%
76 2
 
4.3%
54 2
 
4.3%
65 2
 
4.3%
26 1
 
2.2%
75 1
 
2.2%
68 1
 
2.2%
23 1
 
2.2%
Other values (30) 30
65.2%
ValueCountFrequency (%)
0 2
4.3%
3 1
2.2%
10 1
2.2%
12 1
2.2%
13 1
2.2%
ValueCountFrequency (%)
111 1
2.2%
110 1
2.2%
94 1
2.2%
89 1
2.2%
87 1
2.2%

qt_sit_transferido
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:26.206468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:26.387438image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_sit_falecido
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:26.604468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:26.766646image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_procescpublica
Real number (ℝ)

Distinct25
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.95652174
Minimum0
Maximum102
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:26.970779image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.25
Q15
median9
Q316.75
95-th percentile88.25
Maximum102
Range102
Interquartile range (IQR)11.75

Descriptive statistics

Standard deviation27.46792596
Coefficient of variation (CV)1.376388447
Kurtosis2.925072802
Mean19.95652174
Median Absolute Deviation (MAD)5
Skewness2.026949325
Sum918
Variance754.4869565
MonotonicityNot monotonic
2023-10-04T17:07:27.209866image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
4 6
 
13.0%
10 5
 
10.9%
7 3
 
6.5%
5 3
 
6.5%
9 3
 
6.5%
6 3
 
6.5%
18 2
 
4.3%
8 2
 
4.3%
11 2
 
4.3%
0 2
 
4.3%
Other values (15) 15
32.6%
ValueCountFrequency (%)
0 2
 
4.3%
1 1
 
2.2%
2 1
 
2.2%
4 6
13.0%
5 3
6.5%
ValueCountFrequency (%)
102 1
2.2%
98 1
2.2%
89 1
2.2%
86 1
2.2%
72 1
2.2%

qt_ing_procescprivada
Real number (ℝ)

Distinct37
Distinct (%)80.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean55.17391304
Minimum0
Maximum142
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:27.427239image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8
Q131
median58
Q375
95-th percentile102.5
Maximum142
Range142
Interquartile range (IQR)44

Descriptive statistics

Standard deviation30.5914326
Coefficient of variation (CV)0.5544546493
Kurtosis0.2843834777
Mean55.17391304
Median Absolute Deviation (MAD)18.5
Skewness0.2277076951
Sum2538
Variance935.8357488
MonotonicityNot monotonic
2023-10-04T17:07:27.654281image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
75 3
 
6.5%
58 3
 
6.5%
78 3
 
6.5%
56 2
 
4.3%
0 2
 
4.3%
41 2
 
4.3%
54 1
 
2.2%
66 1
 
2.2%
79 1
 
2.2%
112 1
 
2.2%
Other values (27) 27
58.7%
ValueCountFrequency (%)
0 2
4.3%
7 1
2.2%
11 1
2.2%
14 1
2.2%
16 1
2.2%
ValueCountFrequency (%)
142 1
2.2%
112 1
2.2%
104 1
2.2%
98 1
2.2%
90 1
2.2%

qt_ing_procnaoinformada
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:27.889632image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:28.103489image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_procescpublica
Real number (ℝ)

Distinct28
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.08695652
Minimum0
Maximum163
Zeros2
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:28.351216image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q112
median16.5
Q332
95-th percentile147.25
Maximum163
Range163
Interquartile range (IQR)20

Descriptive statistics

Standard deviation43.65461721
Coefficient of variation (CV)1.244183638
Kurtosis2.928529169
Mean35.08695652
Median Absolute Deviation (MAD)7.5
Skewness2.007725917
Sum1614
Variance1905.725604
MonotonicityNot monotonic
2023-10-04T17:07:28.778570image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
17 4
 
8.7%
13 3
 
6.5%
32 3
 
6.5%
15 3
 
6.5%
6 3
 
6.5%
12 3
 
6.5%
0 2
 
4.3%
9 2
 
4.3%
16 2
 
4.3%
21 2
 
4.3%
Other values (18) 19
41.3%
ValueCountFrequency (%)
0 2
4.3%
6 3
6.5%
8 1
 
2.2%
9 2
4.3%
10 2
4.3%
ValueCountFrequency (%)
163 1
2.2%
155 1
2.2%
150 1
2.2%
139 1
2.2%
133 1
2.2%

qt_mat_procescprivada
Real number (ℝ)

Distinct43
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean245.3478261
Minimum1
Maximum677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:29.033193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile24.25
Q1200.75
median236.5
Q3311.75
95-th percentile429.75
Maximum677
Range676
Interquartile range (IQR)111

Descriptive statistics

Standard deviation139.5356135
Coefficient of variation (CV)0.5687256975
Kurtosis1.281136732
Mean245.3478261
Median Absolute Deviation (MAD)70
Skewness0.4934591457
Sum11286
Variance19470.18744
MonotonicityNot monotonic
2023-10-04T17:07:29.309877image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
41 2
 
4.3%
209 2
 
4.3%
398 2
 
4.3%
567 1
 
2.2%
156 1
 
2.2%
220 1
 
2.2%
288 1
 
2.2%
241 1
 
2.2%
233 1
 
2.2%
369 1
 
2.2%
Other values (33) 33
71.7%
ValueCountFrequency (%)
1 1
2.2%
10 1
2.2%
21 1
2.2%
34 1
2.2%
35 1
2.2%
ValueCountFrequency (%)
677 1
2.2%
567 1
2.2%
438 1
2.2%
405 1
2.2%
398 2
4.3%

qt_mat_procnaoinformada
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.08695652174
Minimum0
Maximum1
Zeros42
Zeros (%)91.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:29.575468image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2848849246
Coefficient of variation (CV)3.276176633
Kurtosis7.515289943
Mean0.08695652174
Median Absolute Deviation (MAD)0
Skewness3.03152708
Sum4
Variance0.08115942029
MonotonicityNot monotonic
2023-10-04T17:07:29.791396image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 42
91.3%
1 4
 
8.7%
ValueCountFrequency (%)
0 42
91.3%
1 4
 
8.7%
ValueCountFrequency (%)
1 4
 
8.7%
0 42
91.3%

qt_conc_procescpublica
Real number (ℝ)

Distinct10
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.760869565
Minimum0
Maximum14
Zeros24
Zeros (%)52.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:30.003448image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7.75
Maximum14
Range14
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.937760164
Coefficient of variation (CV)1.668357624
Kurtosis6.35183476
Mean1.760869565
Median Absolute Deviation (MAD)0
Skewness2.367973313
Sum81
Variance8.630434783
MonotonicityNot monotonic
2023-10-04T17:07:30.209502image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 24
52.2%
1 7
 
15.2%
2 4
 
8.7%
3 3
 
6.5%
5 3
 
6.5%
4 1
 
2.2%
7 1
 
2.2%
14 1
 
2.2%
8 1
 
2.2%
9 1
 
2.2%
ValueCountFrequency (%)
0 24
52.2%
1 7
 
15.2%
2 4
 
8.7%
3 3
 
6.5%
4 1
 
2.2%
ValueCountFrequency (%)
14 1
 
2.2%
9 1
 
2.2%
8 1
 
2.2%
7 1
 
2.2%
5 3
6.5%

qt_conc_procescprivada
Real number (ℝ)

Distinct19
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.804347826
Minimum0
Maximum38
Zeros10
Zeros (%)21.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:30.458319image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6.5
Q312.5
95-th percentile21.75
Maximum38
Range38
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation8.386813897
Coefficient of variation (CV)1.074633536
Kurtosis2.892426457
Mean7.804347826
Median Absolute Deviation (MAD)5.5
Skewness1.546119628
Sum359
Variance70.33864734
MonotonicityNot monotonic
2023-10-04T17:07:30.705068image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 10
21.7%
8 5
10.9%
2 3
 
6.5%
1 3
 
6.5%
3 3
 
6.5%
4 3
 
6.5%
13 3
 
6.5%
7 2
 
4.3%
15 2
 
4.3%
9 2
 
4.3%
Other values (9) 10
21.7%
ValueCountFrequency (%)
0 10
21.7%
1 3
 
6.5%
2 3
 
6.5%
3 3
 
6.5%
4 3
 
6.5%
ValueCountFrequency (%)
38 1
2.2%
29 1
2.2%
22 1
2.2%
21 1
2.2%
20 1
2.2%

qt_conc_procnaoinformada
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:30.935297image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-10-04T17:07:31.136330image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%

qt_parfor
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:31.315649image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:31.492071image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_ing_parfor
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:31.705767image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:31.925882image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_parfor
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:32.135193image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:32.283749image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_conc_parfor
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:32.439526image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:32.592458image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_apoio_social
Real number (ℝ)

Distinct33
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.52173913
Minimum0
Maximum60
Zeros7
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:32.821899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median13.5
Q328.5
95-th percentile46.75
Maximum60
Range60
Interquartile range (IQR)24.25

Descriptive statistics

Standard deviation15.6187055
Coefficient of variation (CV)0.8913901399
Kurtosis-0.09476307637
Mean17.52173913
Median Absolute Deviation (MAD)11
Skewness0.8150594649
Sum806
Variance243.9439614
MonotonicityNot monotonic
2023-10-04T17:07:33.116935image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
0 7
 
15.2%
3 3
 
6.5%
9 3
 
6.5%
14 2
 
4.3%
10 2
 
4.3%
32 2
 
4.3%
38 1
 
2.2%
22 1
 
2.2%
60 1
 
2.2%
26 1
 
2.2%
Other values (23) 23
50.0%
ValueCountFrequency (%)
0 7
15.2%
2 1
 
2.2%
3 3
6.5%
4 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
60 1
2.2%
49 1
2.2%
48 1
2.2%
43 1
2.2%
42 1
2.2%

qt_ing_apoio_social
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.04347826087
Minimum0
Maximum1
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:33.339862image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2061845709
Coefficient of variation (CV)4.742245132
Kurtosis20.31508264
Mean0.04347826087
Median Absolute Deviation (MAD)0
Skewness4.62956782
Sum2
Variance0.04251207729
MonotonicityNot monotonic
2023-10-04T17:07:33.492566image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
0 44
95.7%
1 2
 
4.3%
ValueCountFrequency (%)
1 2
 
4.3%
0 44
95.7%

qt_mat_apoio_social
Real number (ℝ)

Distinct30
Distinct (%)65.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.26086957
Minimum0
Maximum55
Zeros7
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:33.684920image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.25
median12.5
Q326
95-th percentile42.25
Maximum55
Range55
Interquartile range (IQR)21.75

Descriptive statistics

Standard deviation14.30840434
Coefficient of variation (CV)0.8799286092
Kurtosis-0.1829143369
Mean16.26086957
Median Absolute Deviation (MAD)10
Skewness0.7830679451
Sum748
Variance204.7304348
MonotonicityNot monotonic
2023-10-04T17:07:33.903479image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 7
 
15.2%
9 4
 
8.7%
3 3
 
6.5%
26 2
 
4.3%
29 2
 
4.3%
7 2
 
4.3%
19 2
 
4.3%
37 2
 
4.3%
13 1
 
2.2%
27 1
 
2.2%
Other values (20) 20
43.5%
ValueCountFrequency (%)
0 7
15.2%
2 1
 
2.2%
3 3
6.5%
4 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
55 1
2.2%
44 1
2.2%
43 1
2.2%
40 1
2.2%
37 2
4.3%

qt_conc_apoio_social
Real number (ℝ)

Distinct9
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.804347826
Minimum0
Maximum10
Zeros25
Zeros (%)54.3%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:34.127263image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.75
95-th percentile8.25
Maximum10
Range10
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.809662417
Coefficient of variation (CV)1.557162304
Kurtosis1.522713918
Mean1.804347826
Median Absolute Deviation (MAD)0
Skewness1.591960222
Sum83
Variance7.894202899
MonotonicityNot monotonic
2023-10-04T17:07:34.473943image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 25
54.3%
1 7
 
15.2%
6 4
 
8.7%
3 2
 
4.3%
2 2
 
4.3%
5 2
 
4.3%
9 2
 
4.3%
4 1
 
2.2%
10 1
 
2.2%
ValueCountFrequency (%)
0 25
54.3%
1 7
 
15.2%
2 2
 
4.3%
3 2
 
4.3%
4 1
 
2.2%
ValueCountFrequency (%)
10 1
 
2.2%
9 2
4.3%
6 4
8.7%
5 2
4.3%
4 1
 
2.2%

qt_ativ_extracurricular
Real number (ℝ)

Distinct25
Distinct (%)54.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.45652174
Minimum0
Maximum49
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:34.726492image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median8.5
Q316.25
95-th percentile35
Maximum49
Range49
Interquartile range (IQR)13.25

Descriptive statistics

Standard deviation11.36604401
Coefficient of variation (CV)0.9921025135
Kurtosis2.076671375
Mean11.45652174
Median Absolute Deviation (MAD)5.5
Skewness1.482924525
Sum527
Variance129.1869565
MonotonicityNot monotonic
2023-10-04T17:07:34.955172image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8 4
 
8.7%
10 4
 
8.7%
3 4
 
8.7%
0 4
 
8.7%
1 3
 
6.5%
2 3
 
6.5%
13 2
 
4.3%
17 2
 
4.3%
4 2
 
4.3%
6 2
 
4.3%
Other values (15) 16
34.8%
ValueCountFrequency (%)
0 4
8.7%
1 3
6.5%
2 3
6.5%
3 4
8.7%
4 2
4.3%
ValueCountFrequency (%)
49 1
2.2%
40 1
2.2%
36 1
2.2%
32 1
2.2%
26 1
2.2%
Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:35.183439image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-10-04T17:07:35.353522image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%
Distinct24
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.19565217
Minimum0
Maximum49
Zeros4
Zeros (%)8.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:35.558741image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median8
Q315.25
95-th percentile34.25
Maximum49
Range49
Interquartile range (IQR)13

Descriptive statistics

Standard deviation11.35022186
Coefficient of variation (CV)1.013806224
Kurtosis2.17823587
Mean11.19565217
Median Absolute Deviation (MAD)6
Skewness1.517021281
Sum515
Variance128.8275362
MonotonicityNot monotonic
2023-10-04T17:07:35.819157image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
2 5
 
10.9%
8 5
 
10.9%
10 4
 
8.7%
0 4
 
8.7%
1 3
 
6.5%
4 3
 
6.5%
11 3
 
6.5%
3 2
 
4.3%
13 2
 
4.3%
5 1
 
2.2%
Other values (14) 14
30.4%
ValueCountFrequency (%)
0 4
8.7%
1 3
6.5%
2 5
10.9%
3 2
 
4.3%
4 3
6.5%
ValueCountFrequency (%)
49 1
2.2%
40 1
2.2%
35 1
2.2%
32 1
2.2%
26 1
2.2%
Distinct7
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8913043478
Minimum0
Maximum6
Zeros29
Zeros (%)63.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:36.005667image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile4
Maximum6
Range6
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.494110822
Coefficient of variation (CV)1.676319459
Kurtosis2.99709006
Mean0.8913043478
Median Absolute Deviation (MAD)0
Skewness1.865442024
Sum41
Variance2.23236715
MonotonicityNot monotonic
2023-10-04T17:07:36.170277image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 29
63.0%
1 6
 
13.0%
2 5
 
10.9%
3 2
 
4.3%
4 2
 
4.3%
6 1
 
2.2%
5 1
 
2.2%
ValueCountFrequency (%)
0 29
63.0%
1 6
 
13.0%
2 5
 
10.9%
3 2
 
4.3%
4 2
 
4.3%
ValueCountFrequency (%)
6 1
 
2.2%
5 1
 
2.2%
4 2
 
4.3%
3 2
 
4.3%
2 5
10.9%

qt_mob_academica
Real number (ℝ)

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2391304348
Minimum0
Maximum6
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:36.361856image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.138903617
Coefficient of variation (CV)4.762687854
Kurtosis21.16881496
Mean0.2391304348
Median Absolute Deviation (MAD)0
Skewness4.694311823
Sum11
Variance1.297101449
MonotonicityNot monotonic
2023-10-04T17:07:36.531996image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 44
95.7%
5 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
0 44
95.7%
5 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
6 1
 
2.2%
5 1
 
2.2%
0 44
95.7%

qt_ing_mob_academica
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros46
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:36.719899image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2023-10-04T17:07:36.907106image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%
ValueCountFrequency (%)
0 46
100.0%

qt_mat_mob_academica
Real number (ℝ)

Distinct3
Distinct (%)6.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2391304348
Minimum0
Maximum6
Zeros44
Zeros (%)95.7%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:37.093705image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.138903617
Coefficient of variation (CV)4.762687854
Kurtosis21.16881496
Mean0.2391304348
Median Absolute Deviation (MAD)0
Skewness4.694311823
Sum11
Variance1.297101449
MonotonicityNot monotonic
2023-10-04T17:07:37.277638image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 44
95.7%
5 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
0 44
95.7%
5 1
 
2.2%
6 1
 
2.2%
ValueCountFrequency (%)
6 1
 
2.2%
5 1
 
2.2%
0 44
95.7%

qt_conc_mob_academica
Real number (ℝ)

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02173913043
Minimum0
Maximum1
Zeros45
Zeros (%)97.8%
Negative0
Negative (%)0.0%
Memory size736.0 B
2023-10-04T17:07:37.487130image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1474419562
Coefficient of variation (CV)6.782329983
Kurtosis46
Mean0.02173913043
Median Absolute Deviation (MAD)0
Skewness6.782329983
Sum1
Variance0.02173913043
MonotonicityNot monotonic
2023-10-04T17:07:37.709411image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
0 45
97.8%
1 1
 
2.2%
ValueCountFrequency (%)
1 1
 
2.2%
0 45
97.8%

enade_faixa
Categorical

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size736.0 B
SC
15 
4
15 
3
2
5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSC
2nd rowSC
3rd rowSC
4th rowSC
5th row4

Common Values

ValueCountFrequency (%)
SC 15
32.6%
4 15
32.6%
3 9
19.6%
2 4
 
8.7%
5 3
 
6.5%

Common Values (Plot)

2023-10-04T17:07:37.992876image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/

cpc_faixa
Categorical

Distinct4
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Memory size736.0 B
4
25 
3
10 
SC
5
 
2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowSC
2nd rowSC
3rd rowSC
4th rowSC
5th row4

Common Values

ValueCountFrequency (%)
4 25
54.3%
3 10
 
21.7%
SC 9
 
19.6%
5 2
 
4.3%

Common Values (Plot)

2023-10-04T17:07:38.522622image/svg+xmlMatplotlib v3.6.3, https://matplotlib.org/